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

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 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

Staff Engineer, Data Science<h4>Company Description</h4>👋🏼We're Nagarro.We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (17500+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in!<h4>Job Description</h4>REQUIREMENTS:<ul><li>Total experience 7+ years.</li><li>Strong working experience in Python.</li><li>Hands on working knowledge of the DS/ML stack (NumPy, Pandas, SciPy, Scikit-learn, TensorFlow, PyTorch).</li><li>Working experience in SQL.</li><li>Hands-on experience with cloud-based data handling and ML workflows (Google Cloud preferred).</li><li>Experience in building microservice APIs for ML solutions.</li><li>Exposure to model monitoring technologies.</li><li>Experience with deploying ML solutions at scale (Kubeflow, VertexAI, Airflow, PySpark).</li><li>Proficiency with data visualization libraries (matplotlib, seaborn, plotly, etc.)</li><li>Excellent communication and collaboration skills for working across global teams.</li></ul>RESPONSIBILITIES:<ul><li>Writing and reviewing great quality code.</li><li>Understanding functional requirements thoroughly and analyzing the client's needs in the context of the project.</li><li>Envisioning the overall solution for defined functional and non-functional requirements, and being able to define technologies, patterns and frameworks to realize it.</li><li>Determining and implementing design methodologies and tool sets.</li><li>Enabling application development by coordinating requirements, schedules, and activities.</li><li>Being able to lead/support UAT and production roll outs.</li><li>Creating, understanding and validating WBS and estimated effort for given module/task, and being able to justify it.</li><li>Addressing issues promptly, responding positively to setbacks and challenges with a mindset of continuous improvement.</li><li>Giving constructive feedback to the team members and setting clear expectations.</li><li>Helping the team in troubleshooting and resolving of complex bugs.</li><li>Coming up with solutions to any issue that is raised during code/design review and being able to justify the decision taken.</li><li>Carrying out POCs to make sure that suggested design/technologies meet the requirements.</li></ul><h4>Qualifications</h4>Bachelor’s or master’s degree in computer science, Information Technology, or a related field.<h4>Experience Level</h4>Senior Level

Nagarro Softwares Pvt. Ltd

Data Scientist

Lead Engineer We are looking for talented professionals to join our growing team in key position as Lead Engineer Skills: Azure Databricks, PySpark, SQLExperience: 9-12 years To apply, share your profile.

Sales Engineer

MTS - Fleet Insights Team - FlashArrayWe’re in an unbelievably exciting area of tech and are fundamentally reshaping the data storage industry. Here, you lead with innovative thinking, grow along with us, and join the smartest team in the industry.This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us.Fleet Insights TeamThe Fleet Insights team operates at the intersection of software engineering, data engineering, and cloud-scale observability. We dig deep into customer-impacting issues, design resilient systems to detect and classify them, and build intelligent data pipelines that transform how Pure understands and supports its global fleet.As an MTS-4 engineer, you'll be both a systems builder and a data problem solver—designing large-scale services, leading technical direction, and building tools that extract actionable insights from telemetry and logs. This is a high-leverage role for someone who wants to build at scale, solve tough data problems, and make a measurable difference to Pure’s customers.WHAT YOU’LL BE DOING...<ul><li>Architect and implement backend services for ingesting, extracting, and classifying telemetry logs at scale (e.g., TALES platform).</li><li>Design data pipelines to process and analyze structured and unstructured logs, enabling real-time fleet intelligence and RCA automation.</li><li>Build scalable distributed systems using technologies like Redis, SQS, RDS, and S3 to support fault-tolerant, stateless services.</li><li>Develop and deploy microservices on cloud-native platforms (e.g., AWS, Pure1Build) using containerized infrastructure (Docker, Kubernetes).</li><li>Establish and maintain robust observability—define SLOs, build health checks, monitor job queues, and implement alerting using tools like Datadog and PagerDuty.</li><li>Create and optimize data models for failure classification, metrics aggregation, and long-term log storage using SQL-based stores (PostgreSQL, Snowflake).</li><li>Mentor junior engineers, drive technical reviews, and write high-quality design docs that guide the team’s architecture decisions.</li><li>Collaborate closely with platform, support, and product teams to align on service APIs, failure workflows, and operational ownership.</li><li>Continuously improve system reliability, cost-efficiency, and developer experience through refactoring, automation, and design iteration.</li></ul>WHAT YOU’LL NEED TO BRING TO THIS ROLE...<ul><li>8+ years of experience in software engineering and/or data engineering, building and operating backend services in Python, Go, or Java.</li><li>Strong knowledge of distributed systems fundamentals, service-oriented architecture, and asynchronous workflows.</li><li>Hands-on experience building data pipelines or log analytics systems using cloud-native tools (e.g., AWS Glue, Lambda, S3, Athena, Kafka, or equivalent).</li><li>Deep understanding of database systems—SQL and NoSQL—combined with strong data modeling and performance optimization skills.</li><li>Cloud infrastructure expertise, ideally in AWS, including IAM, cost-aware architecture, and autoscaling principles.</li><li>Familiarity with CI/CD pipelines, microservices lifecycle management, and containerization with Docker/Kubernetes.</li><li>Demonstrated ability to design and lead complex, cross-functional technical initiatives with minimal oversight.</li><li>Excellent communication skills—able to explain design trade-offs, simplify complex systems, and influence across teams.</li><li>A strong mentoring mindset and a willingness to help level-up peers and junior team members.</li><li>Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.</li></ul>WHAT YOU CAN EXPECT FROM US:<ul><li>Pure Innovation: We celebrate those who think critically, like a challenge and aspire to be trailblazers.</li><li>Pure Growth: We give you the space and support to grow along with us and to contribute to something meaningful. We have been Named Fortune's Best Large Workplaces in the Bay Area™, Fortune's Best Workplaces for Millennials™ and certified as a Great Place to Work®!</li><li>Pure Team: We build each other up and set aside ego for the greater good.</li></ul>And because we understand the value of bringing your full and best self to work, we offer a variety of perks to manage a healthy balance, including flexible time off, wellness resources and company-sponsored team events. Check out <a href="http://purebenefits.com">purebenefits.com</a> for more information.ACCOMMODATIONS AND ACCESSIBILITY:Candidates with disabilities may request accommodations for all aspects of our hiring process. For more on this, contact us at <a href="mailto:TA-Ops@purestorage.com">TA-Ops@purestorage.com</a> if you’re invited to an interview.OUR COMMITMENT TO A STRONG AND INCLUSIVE TEAM:We’re forging a future where everyone finds their rightful place and where every voice matters. Where uniqueness isn’t just accepted but embraced. That’s why we are committed to fostering the growth and development of every person, cultivating a sense of community through our Employee Resource Groups and advocating for inclusive leadership. Pure is proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other characteristic legally protected by the laws of the jurisdiction in which you are being considered for hire.<h4>Experience Level</h4>Senior Level

AI Resume builder

AI Resume checker

AI Cover letter generator

Blog

Data Science & Analytics Jobs - 1946 Verified Vacancies

Data Engineer

Automation Process Engineer

Data Analyst Intern

SQL Developer

Cloud Engineer

Senior Data Processing Officer

Architect

Data Engineer

Data Scientist

Sales Engineer

Dispatch Specialist

Know more about Data Science Analytics Jobs In Bengaluru Bangalore Region