Jobs

Data Science & Analytics

Anywhere in India

Agra

Ahmedabad

Ahmednagar

Ajmer

Aligarh

Amritsar

Asansol

Aurangabad

Bareilly

Belagavi

Bengaluru

Bhavnagar

Bhilai

Bhopal

Bhubaneswar

Bikaner

Chandigarh

Chennai

Coimbatore

Cuttack

Dehradun

Delhi-NCR

Dhanbad

Gorakhpur

Guntur

Guwahati

Gwalior

Hubli

Hyderabad

Indore

Jabalpur

Jaipur

Jalandhar

Jamnagar

Jamshedpur

Jodhpur

Kannur

Kanpur

Kochi

Kolhapur

Kolkata

Kota

Lucknow

Ludhiana

Madurai

Malappuram

Mangalore

Meerut

Mumbai

Mysuru

Nagpur

Nashik

Panipat

Patna

Prayagraj

Puducherry

Pune

Raipur

Rajkot

Ranchi

Saharanpur

Salem

Solapur

Surat

Thiruvananthapuram

Trichy

Udaipur

Ujjain

Vadodara

Varanasi

Vijayawada

Visakhapatnam

Warangal

Admin / Back Office / Computer Operator

Advertising / Communication

Aviation & Aerospace

Banking / Insurance / Financial Services

Beauty, Fitness & Personal Care

Construction & Site Engineering

Consulting

Content, Editorial & Journalism

CSR & Social Service

Customer Support

Delivery / Driver / Logistics

Domestic Worker

Energy & Mining

Engineering - Hardware & Networks

Environment Health & Safety

Facility Management

Finance & Accounting

Healthcare / Doctor / Hospital Staff

Human Resources

IT & Information Security

Legal & Regulatory

Maintenance Services

Marketing / Brand / Digital Marketing

Media Production & Entertainment

Operations

Production / Manufacturing / Engineering

Product Management

Project & Program Management

Purchase & Supply Chain

Quality Assurance

Research & Development

Restaurant / Hospitality / Tourism

Retail & eCommerce

Risk Management & Compliance

Sales & BD

Security Services

Shipping & Maritime

Software Engineering

Strategic & Top Management

Tailoring, Apparel & Home Furnishing

Teaching & Training

UX, Design & Architecture

Popular Job Localities

Popular Job Companies

Popular Job Departments

Jobs in Top Cities

Popular Job Type

Start Hiring

Lead Analytics Consultant | AI/MLAbout this role:Wells Fargo is seeking a Lead Analytics Consultant. In this role, you will:<ul><li>Advise line of business and companywide functions on business strategies based on research of performance metrics, trends in population distributions, and other complex data analysis to maximize profits and asset growth, and minimize operating losses within risk and other operating standards</li><li>Provide influence and leadership in the identification of new tools and methods to analyze data</li><li>Ensure adherence to compliance and legal regulations and policies on all projects managed</li><li>Provide updates on project logs, monthly budget forecasts, monthly newsletters, and operations reviews</li><li>Assist managers in building quarterly and annual plans and forecast future market research needs for business partners supported</li><li>Strategically collaborate and consult with peers, colleagues, and mid-level to senior managers to resolve issues and achieve goals</li><li>Lead projects, teams, or serve as a peer mentor to staff, interns and external contractors</li></ul> Required Qualifications:<ul><li>5+ years of Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education</li></ul>Desired Qualifications:<ul><li>5+ years of data science experience, or equivalent demonstrated through one or a combination of the following: work experience, training, education.</li><li>Bachelor's degree/ Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science.</li><li>Strong analytical and problem-solving skills with the ability to think strategically and act tactically.</li><li>Proficiency in Python with hands-on experience using libraries such as Scikit-learn, PyTorch, TensorFlow, and Hugging Face Transformers.</li><li>Statistical knowledge - Proven experience in statistical methods like and not limited to Markov Models, Stochastic models, Bayesian Models, Classification Models, Cluster Analysis, Multivariate Stats, Regression Models, Ensemble Techniques</li><li>Exposure to Generative AI, Large Language Models (LLM), Retrieval Augmented Generation (RAG), agentic frameworks (LangChain, PydanticAI, Swarm), Tool use and Model Context Protocol (MCP), and AI/ML techniques</li><li>Experience building and fine-tuning GenAI models using frameworks like LangChain, LlamaIndex, or integrating APIs from OpenAI, Azure OpenAI, or other foundation model providers</li><li>Solid understanding of NLP, deep learning, and data modeling techniques.</li><li>Excellent communication and stakeholder engagement skills.</li><li>Exposure to cloud platforms such as Microsoft Data Lake, Azure, and GCP.</li><li>Experience with both structured and unstructured data, including transactional data.</li><li>Demonstrated experience applying both traditional ML and GenAI in real-world business use cases.</li><li>Experience working with large language models (LLMs) and/or vector databases is a strong advantage.</li><li>Experience working with new Gen AI APIs like Langchain, Langgraph, MCP etc for orchestration</li><li>Experience with Data Ops/ MLOps</li><li>Certifications in AI/ML (e.g., Azure AI Engineer Associate, AWS Machine Learning Specialty)</li><li>Familiarity with cloud platforms (Azure, AWS, GCP) and containerized deployments (Docker, Kubernetes).</li><li>Experience with responsible AI practices, explainability, and AI ethics.</li><li>Previous consulting or client-facing experience, ideally in cross-industry engagements.</li><li>Experience in engaging with both technical and non-technical stakeholders</li><li>Strong consulting experience and background, including engaging directly with clients</li></ul>Posting End Date: 22 Apr 2025*Job posting may come down early due to volume of applicants.<div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div>We Value DiversityAt Wells Fargo, we believe in diversity, equity and inclusion in the workplace; accordingly, we welcome applications for employment from all qualified candidates, regardless of race, color, gender, national origin, religion, age, sexual orientation, gender identity, gender expression, genetic information, individuals with disabilities, pregnancy, marital status, status as a protected veteran or any other status protected by applicable law.Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements.Candidates applying to job openings posted in US: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.</div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div>Applicants with DisabilitiesTo request a medical accommodation during the application or interview process, visit <a href='\"https://www.wellsfargojobs.com/en/diversity/disability-inclusion/\"' target='\"_blank\"'>Disability Inclusion at Wells Fargo</a>.Drug and Alcohol Policy Wells Fargo maintains a drug free workplace.  Please see our <a href='\"https://www.wellsfargojobs.com/en/wells-fargo-drug-and-alcohol-policy\"' target='\"_blank\"'>Drug and Alcohol Policy</a> to learn more.Wells Fargo Recruitment and Hiring Requirements:a. Third-Party recordings are prohibited unless authorized by Wells Fargo.b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.

Wells Fargo India Solutions Pvt Ltd

Lead Generation Specialist

Senior Data Engineer We’re hiring Senior Data Engineer to design, develop, and enhance data systems that empower smarter decisions. Experience: 7+ yearsIdeal Start Date: ImmediateMandatory Skills: Spark Optimization, Airflow, S3, Glue, Lambda, Step Function, Snowflake If interested, share your CV.

Experion Technologies India Pvt Ltd

Data Engineer

AI/ML Engineer Technical Skills:• Advanced proficiency in Python with expertise in data science libraries (NumPy, Pandas, scikit-learn) and deep learning frameworks (PyTorch, TensorFlow)• Extensive experience with LLM frameworks (Hugging Face Transformers, LangChain) and prompt engineering techniques• Experience with big data processing using Spark for large-scale data analytics• Version control and experiment tracking using Git and MLflow• Software Engineering &amp; Development: Advanced proficiency in Python, familiarity with Go or Rust, expertise in microservices, test-driven development, and concurrency processing.• DevOps &amp; Infrastructure: Experience with Infrastructure as Code (Terraform, CloudFormation), CI/CD pipelines (GitHub Actions, Jenkins), and container orchestration (Kubernetes) with Helm and service mesh implementations.• LLM Infrastructure &amp; Deployment: Proficiency in LLM serving platforms such as vLLM and FastAPI, model quantization techniques, and vector database management.• MLOps &amp; Deployment: Utilization of containerization strategies for ML workloads, experience with model serving tools like TorchServe or TF Serving, and automated model retraining.• Cloud &amp; Infrastructure: Strong grasp of advanced cloud services (AWS, GCP, Azure) and network security for ML systems.• LLM Project Experience: Expertise in developing chatbots, recommendation systems, translation services, and optimizing LLMs for performance and security.• General Skills: Python, SQL, knowledge of machine learning frameworks (Hugging Face, TensorFlow, PyTorch), and experience with cloud platforms like AWS or GCP.• Experience in creating LLD for the provided architecture.• Experience working in microservices based architecture. Experience : 6+ Years Share your updated resume now.

SP Software Pvt Ltd

Automation Process Engineer

Data Engineer Sr. AnalystJob Title -  &lt;Data Engineer&gt; + &lt;Level Sr.Analyst&gt; + &lt;Entity ACS/Accenture Song&gt; Management Level: &lt;Level 10- Sr. Analyst &gt;Location: Kochi, Coimbatore, TrivandrumMust have skills: Databricks including Spark-based ETL, Delta LakeGood to have skills: PysparkJob SummaryWe are seeking a highly skilled and experienced Senior Data Engineer to join our growing Data and Analytics team. The ideal candidate will have deep expertise in Databricks and cloud data warehousing, with a proven track record of designing and building scalable data pipelines, optimizing data architectures, and enabling robust analytics capabilities. This role involves working collaboratively with cross-functional teams to ensure the organization leverages data as a strategic asset. Your responsibilities will include:Roles and Responsibilities               <ul><li>Design, build, and maintain scalable data pipelines and ETL processes using Databricks and other modern tools.</li><li>Architect, implement, and manage cloud-based data warehousing solutions on Databricks (Lakehouse Architecture)</li><li>Develop and maintain optimized data lake architectures to support advanced analytics and machine learning use cases.</li><li>Collaborate with stakeholders to gather requirements, design solutions, and ensure high-quality data delivery.</li><li>Optimize data pipelines for performance and cost efficiency.</li><li>Implement and enforce best practices for data governance, access control, security, and compliance in the cloud.</li><li>Monitor and troubleshoot data pipelines to ensure reliability and accuracy.</li><li>Lead and mentor junior engineers, fostering a culture of continuous learning and innovation.</li><li>Excellent communication skills</li><li>Ability to work independently and along with client based out of western Europe.</li></ul>Professional and Technical Skills<ul><li>3.5-5 years of experience in Data Engineering roles with a focus on cloud platforms.</li><li>Proficiency in Databricks, including Spark-based ETL, Delta Lake, and SQL.</li><li>Strong experience with one or more cloud platforms (AWS preferred).</li><li>Handson Experience with Delta lake, Unity Catalog, and Lakehouse architecture concepts.</li><li>Strong programming skills in Python and SQL; experience with Pyspark a plus.</li><li>Solid understanding of data modeling concepts and practices (e.g., star schema, dimensional modeling).</li><li>Knowledge of CI/CD practices and version control systems (e.g., Git).</li><li>Familiarity with data governance and security practices, including GDPR and CCPA compliance.</li></ul>Additional Information<ul><li>Experience with Airflow or similar workflow orchestration tools.</li><li>Exposure to machine learning workflows and MLOps.</li><li>Certification in Databricks, AWS</li><li>Familiarity with data visualization tools such as Power BI</li></ul><a href="https://www.accenture.com/in-en/about/company-index" target="_blank">About Our Company | Accenture</a> (do not remove the hyperlink)

Accenture India Private Limited

Data Analyst Intern

Snowflake Developer <ul><li>Expertise: Snowflake SQL Development, ETL/ELT, Data Modeling, Cloud Platforms (AWS/Azure/GCP), Performance Tuning</li><li>Experience: 5-10 Years</li></ul> Share your resume now.

Bizmetric

SQL Developer

GCP Cloud Analytics Engineer We’re looking for a GCP Cloud Analytics Engineer with strong HEOR/RWE/US Healthcare domain experience and hands-on expertise in GCP, Python/PySpark, AI &amp; ML to design and build scalable data pipelines and applications on cloud-native ecosystem. You’ll work on automation, high-volume data systems, driving data and analytics teams. Key Responsibilities:-Design, develop and maintain ETL data pipelines using BigQuery, SQL and Python/Pyspark-Process and transform large-scale structured and unstructured datasets cleaning, preprocessing, and feature engineering using advanced ML algorithms.-Analyze, understand and migrate existing ETL processes from SAS to BigQuery/ Python/PySpark-Develop workflows for data ingestion, transformation, and loading on GCP (BigQuery, Cloud Storage, Dataflow)-Generate effective data visualizations and insights using Tableau/PowerBI-Ensure data quality, consistency and reliability during migration and in production pipelines Key Qualifications:-3+ years of Experience in ETL development, Data Engineering, Data Management with strong focus on GCP, SQL, Python/Pyspark and AI/ML for building production ready Python-based AI/ML pipelines and APIs for integration with production systems.-Strong HEOR/RWE/Clinical Trials or US healthcare data (medical/pharmacy claims, Labs and enrollment data.-Strong understanding of data preprocessing, feature selection, and model evaluation techniques. Apply ML/DL frameworks (e.g., TensorFlow, PyTorch, Keras) for NLP, and predictive analytics.-Strong hands-on experience with GCP BigQuery, Data Proc, Airflow DAG, Dataflow, GCS, Pub/sub, Secret Manager, Cloud Functions, Beams, CI/CD workflows, Git.-Strong data visualization skills with Tableau/PowerBI.-Good understanding of SAS/SQL data step logic and procedures; experience in migrating ETL jobs from SAS to Python-Strong problem solving and communication skills.-Good understanding of Generative AI and LLM fine-tuning.-Familiar with cloud AI services (AWS, Azure ML/AI Platform) is a plus. How to Apply:Please share your updated profile with me at <a rel="noopener noreferrer" href="\&quot;mailto:Raman.Kumar2@exlservice.com\&quot;" target="_blank">Raman.Kumar2@exlservice.com</a>

EXL Service

Cloud Engineer

Data Validation Professional Now Hiring: Data Validation Role (Hybrid)Employment Type: Full-TimeExperience: 5+ yrs Must-have*Experience in Model Governance *Good understanding of Model Governance framework SS 1/23*Good understanding of Credit Risk*Interest in documentation work*Strong collaboration and inter-personal skills to seek and gather inputs from Model Owners as required Good-to-have*Experience in Model Monitoring / Model Validation*Any exposure to SAS, SQL, Python If you fit the criteria and are ready to take on a new challenge, please share your updated resume.

Senior Data Processing Officer

IN-Senior Manager_ Snowflake Architect__ Data & Analytics _ Advisory _BangaloreLine of ServiceAdvisoryIndustry/SectorNot ApplicableSpecialismData, Analytics &amp; AIManagement LevelSenior ManagerJob Description &amp; SummaryAt PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.Why PWCAt PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more <a href="https://www.pwc.in/about-us.html" rel="noopener noreferrer" target="_blank">about us</a>.At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations.Job Description &amp; Summary: A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organizational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organizations to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.Responsibilities:Position: Snowflake Architect / Senior Manager Experience: 12- 15 Years Location: Bangalore Type: Full Time Certifications: SnowPro Core(mandatory), SnowPro Advanced Architect. About the Role: We are seeking an experienced Snowflake Architect with over 12-15 years of experience specializing in data services, data architecture, and data platforms. The ideal candidate should have a strong background in designing and implementing scalable data solutions on Snowflake. Candidate should have hands-on knowledge working with Snowflake keeping aligned with latest trends in Snowflake. Key Responsibilities: · Design, develop, and implement Snowflake-based data solutions. · Collaborate with stakeholders to understand business requirements and translate them into technical solutions. · Optimize and tune Snowflake environments for performance and cost efficiency. · Develop and enforce best practices for data governance, security, and compliance. · Lead and mentor a team of data engineers and analysts. · Integrate Snowflake with other data tools and platforms. · Monitor and troubleshoot data pipelines and workflows. · Stay updated with the latest trends and advancements in Snowflake and cloud data warehousing. Required Skills: · Extensive experience with Snowflake architecture and data warehousing. · Proficiency in SQL and performance tuning. · Proficiency in PySpark/Python/Snowpark · Experience with working with dbt (Data Build Tool) · Strong understanding of ETL/ELT processes and tools.· Experience with cloud platforms such as AWS, Azure, or Google Cloud. · Knowledge of data modeling, data integration, and data migration. · Familiarity with data governance, security, and compliance best practices. · Excellent problem-solving and analytical skills. · Strong communication and collaboration skills. Preferred Qualifications: · Extensive experience with Snowflake architecture and data warehousing. · Proficiency in SQL and performance tuning. · Proficiency in PySpark/Python/Snowpark · Experience with working with dbt (Data Build Tool) · Strong understanding of ETL/ELT processes and tools.Mandatory skill sets:· Design, develop, and implement Snowflake-based data solutions. · Collaborate with stakeholders to understand business requirements and translate them into technical solutions. · Optimize and tune Snowflake environments for performance and cost efficiency.Preferred Skill sets:· Extensive experience with Snowflake architecture and data warehousing. · Proficiency in SQL and performance tuning.Years of experience required:Experience: 12 - 15 YearsEducation qualification:B.Tech / M.Tech / MCA/MBAEducation (if blank, degree and/or field of study not specified)Degrees/Field of Study required: Bachelor Degree, Master DegreeDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)Required SkillsDatabricks SQL, PySparkOptional SkillsAccepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Coaching and Feedback, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion {+ 24 more}Desired Languages (If blank, desired languages not specified)Travel RequirementsNot SpecifiedAvailable for Work Visa Sponsorship?NoGovernment Clearance Required?NoJob Posting End Date<h4>Experience Level</h4>Senior Level

PriceWaterhouseCoopers Pvt Ltd ( PWC )

Architect

Senior Data Engineer<h4>
 
 General Information
 </h4>






 Job Title
 

 Senior Data Engineer
 



 Job ID
 

 12418
 



 Country
 

 India
 



 City
 

 Hyderabad
 



 Date Posted
 

 01-Aug-2025
 



 Job Category
 

 Data Science
 



 Job Subcategory
 

 Data Science
 



 Hire Type
 

 Employee
 



 Remote Eligible
 

 No
 






<h4>
 
 Descriptions &amp; Requirements
 </h4>






 Job Description and Requirements
 

<h4 id="isPasted">We Are:At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content. Join us to transform the future through continuous technological innovation.<h4>You Are:</h4>You are an accomplished data professional with a passion for leveraging technology to generate actionable insights and drive business outcomes. You thrive in dynamic, collaborative environments and are eager to tackle complex problems using advanced data engineering, analytics, and machine learning techniques. Your curiosity drives you to stay abreast of the latest advancements in AI and generative technologies, and you are always looking for innovative ways to apply them in real-world scenarios. You bring not only technical expertise but also a deep understanding of business processes and stakeholder needs. You are adept at translating raw data into meaningful intelligence that empowers decision-makers. Your commitment to excellence is matched by your methodical approach to problem-solving and your ability to communicate technical concepts clearly to both technical and non-technical audiences. You value diversity and inclusivity, recognizing that the best solutions emerge from varied perspectives. Whether working independently or as part of a global team, you exhibit adaptability, resilience, and a drive for continuous learning. You are motivated by the opportunity to help shape the future of data platforms at Synopsys, and you are ready to make a significant impact on our enterprise data ecosystem.<h4>What You’ll Be Doing:</h4><ul><li>Lead and develop data models, structures, algorithms, and transformation processes to enable data-driven decision-making across the organization.</li><li>Design, develop, and deploy robust, scalable AI/Generative AI and machine learning algorithms, including Large Language Models (LLMs).</li><li>Collaborate with cross-functional teams to shape the design and direction of Synopsys’ Enterprise Data Platform.</li><li>Work end-to-end on data products: from problem analysis to data pipeline (ELT/ETL) design, dimensional modeling, and advanced visualizations.</li><li>Provide expert support and guidance to business users, including preparing data for predictive and prescriptive modeling.</li><li>Champion best practices in data management, ensuring consistency of process, usage, and data integrity.</li><li>Evaluate and recommend new data tools and processes to enhance platform capabilities and user experience.</li><li>Analyze, design, configure, develop, test, and document new projects, enhancements, and ongoing production support for enterprise applications.</li><li>Deliver day-to-day production support to internal business units, collaborating with users to implement enhancements and resolve issues.</li><li>Maintain a strong awareness of emerging trends in AI, Generative AI, and machine learning, seeking opportunities to innovate and enhance existing systems.</li></ul><h4>The Impact You Will Have:</h4><ul><li>Drive data-driven decision-making by delivering reliable, scalable data solutions for business stakeholders.</li><li>Accelerate Synopsys’ adoption of cutting-edge AI and machine learning technologies to solve complex business challenges.</li><li>Enhance the value and usability of enterprise data through innovative modeling, transformation, and visualization techniques.</li><li>Improve operational efficiency by automating data flows and streamlining analytics processes.</li><li>Empower teams with actionable insights that inform strategy, product development, and customer engagement.</li><li>Set new standards for data quality, governance, and integrity within a global technology leader.</li><li>Foster a culture of continuous improvement and learning by introducing advanced data tools and methodologies.</li><li>Strengthen Synopsys’ competitive advantage through rapid, informed decision-making and predictive analytics.</li></ul><h4>What You’ll Need:</h4><ul><li>BS with 5+ years of relevant experience, or MS with 3+ years in Computer Science, Mathematics, Engineering, or MIS.</li><li>Deep expertise in Data Warehousing, SQL, ETL/ELT, dimensional modeling, and databases (e.g., mySQL, Postgres, HANA).</li><li>Hands-on experience with cloud data warehouses (e.g., Snowflake, BigQuery), transformation tools (dbt), and cloud providers (Azure, AWS).</li><li>Proficiency with ingestion tools (e.g., Fivetran, HVR, Airbyte), CICD (Gitlab, Kubernetes, Airflow), and data catalog tools (Datahub, Atlan).</li><li>Ability to develop custom BI products using scripting languages (Python, Unix, SQL, Scala, Java); experience with Tableau and PowerBI is a plus.</li><li>Strong understanding of business requirements in BI contexts and expertise in designing data models for actionable insights.</li><li>Knowledge of data governance, data integrity, and data quality best practices, as well as agile development methodologies.</li><li>Experience in writing comprehensive functional and technical documentation.</li></ul><h4>Who You Are:</h4><ul><li>Methodical problem-solver with a passion for data, technology, and learning.</li><li>Motivated team player with excellent interpersonal and organizational skills.</li><li>Effective communicator, able to convey complex ideas to varied audiences.</li><li>Adaptable and resilient, thriving in a global, diverse team or working autonomously.</li><li>Innovative thinker who actively seeks opportunities to leverage emerging technologies.</li></ul><h4>The Team You’ll Be A Part Of:</h4>You will join the Business Applications team, a dynamic group focused on building and optimizing Synopsys’ Enterprise Data Platform. Our team values collaboration, innovation, and continuous learning, working together to deliver data solutions that empower every facet of our global organization. We foster an inclusive environment where diverse perspectives drive creative problem-solving and technological advancement.<h4>Rewards and Benefits:</h4>We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.</h4>At Synopsys, we want talented people of every background to feel valued and supported to do their best work. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability.<h4>Experience Level</h4>Senior Level

Synopsys India Pvt Ltd

Senior Associate Data Engineering L2 DE - Big Data GCP The Senior Associate People Senior Associate L2 in Data Engineering, you will translate client requirements into technical design, and implement components for a data engineering solutions. Utilize a deep understanding of data integration and big data design principles in creating custom solutions or implementing package solutions. You will independently drive design discussions to insure the necessary health of the overall solution&nbsp; Your Impact:<ul><li>Data Ingestion, Integration and Transformation</li><li>Data Storage and Computation Frameworks, Performance Optimizations</li><li>Analytics &amp; Visualizations</li><li>Infrastructure &amp; Cloud Computing</li><li>Data Management Platforms</li><li>Build functionality for data ingestion from multiple heterogeneous sources in batch &amp; real-time</li><li>Build functionality for data analytics, search and aggregation</li></ul> Qualifications&nbsp;Your Skills &amp; Experience:<ul><li>Minimum 3 years of experience in Big Data technologies</li><li>Hands-on experience with the Hadoop stack – HDFS, sqoop, Kafka, Pulsar, NiFi, Spark, Spark Streaming, Flink, Storm, hive, oozie, airflow, and other components required in building end-to-end data pipelines. Working knowledge of real-time data pipelines is added advantage.</li><li>Strong experience in at least the programming language Java, Scala, and Python. Java preferable</li><li>Hands-on working knowledge of NoSQL and MPP data platforms like Hbase, MongoDB, Cassandra, AWS Redshift, Azure SQLDW, GCP BigQuery, etc.</li><li>Well-versed and working knowledge with data platform-related services on AWS</li><li>Bachelor’s degree and year of work experience of 6 to 8 years or any combination of education, training, and/or experience that demonstrates the ability to perform the duties of the position</li></ul> Set Yourself Apart With:<ul><li>Good knowledge of traditional ETL tools (Informatica, Talend, etc) and database technologies (Oracle, MySQL, SQL Server, Postgres) with hands-on experience</li><li>Knowledge of data governance processes (security, lineage, catalog) and tools like Collibra, Alation, etc</li><li>Knowledge of distributed messaging frameworks like ActiveMQ / RabbiMQ / Solace, search &amp; indexing, and Microservices architectures</li><li>Performance tuning and optimization of data pipelines</li><li>Cloud data specialty and other related Big data technology certifications</li></ul>

Publicis Sapient Consulting Pvt Ltd

Data Engineer (SAS DQ Conversion) We’re Hiring: Data Engineer (SAS DQ Conversion) Experience: 6+ YearsNotice Period: Immediate Joiners only (First Come, First Serve!)Join us at EXL, where you’ll work on modernizing legacy systems, optimizing SQL queries, and delivering impactful data solutions. Must-Haves:<ul><li>Proficiency in SQL with hands-on translation experience</li><li>SAS Data Quality (DQ) expertise</li><li>Teradata SQL knowledge (preferred)</li><li>Strong problem-solving &amp; teamwork skills</li></ul> Good-to-Haves:<ul><li> Experience in data warehousing &amp; large-scale data environments</li><li> Familiarity with PostgreSQL/MySQL/MS SQL</li><li> Knowledge of Python or scripting for data engineering</li><li> Exposure to AWS/cloud data services</li></ul> Interested candidates, share your resume with details.

AI Resume builder

AI Resume checker

AI Cover letter generator

Blog

Data Science & Analytics Jobs - 1917 Verified Vacancies

Lead Generation Specialist

Data Engineer

Data Engineer

Automation Process Engineer

Data Analyst Intern

SQL Developer

Cloud Engineer

Senior Data Processing Officer

Architect

Data Engineer

Data Engineer

Data Engineer

Know more about Data Science Analytics Jobs In Ghaziabad