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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.

EXL Service

Data Engineer

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

Data Engineer (Databricks, SQL, Python) We are seeking an experienced&nbsp;Data Engineer&nbsp;with 4 to 5 years of experience, and at least 3+ years of expertise in designing and implementing data solutions using the Databricks platform. The ideal candidate will have a solid background in distributed computing, big data technologies, and cloud platforms. Key Responsibilities:<ul><li>Design, implement, and maintain scalable data solutions using&nbsp;Databricks.</li><li>Work with programming languages such as&nbsp;Python, SQL, or Scala.</li><li>Collaborate with cross-functional teams to deliver data-driven solutions.</li><li>Optimize and manage data pipelines using&nbsp;Apache Spark&nbsp;and&nbsp;cloud services&nbsp;(AWS, Azure, or GCP).</li><li>Leverage DevOps practices to automate deployments and monitor data pipelines.</li></ul> Key Skills:<ul><li>Proficiency in&nbsp;Python,&nbsp;SQL, or&nbsp;Scala.</li><li>Hands-on experience with&nbsp;Databricks&nbsp;and&nbsp;Apache Spark.</li><li>Strong knowledge of&nbsp;cloud platforms&nbsp;like AWS, Azure, or GCP.</li><li>Good understanding of&nbsp;distributed computing&nbsp;and big data technologies.</li><li>Familiarity with&nbsp;containerization&nbsp;(Docker, Kubernetes) and&nbsp;DevOps&nbsp;practices.</li></ul> Good to Have:<ul><li>Experience with&nbsp;containerization technologies&nbsp;(Docker, Kubernetes).</li><li>Knowledge of&nbsp;automated deployment and monitoring&nbsp;for data pipelines.</li></ul> Qualifications:<ul><li>Bachelor’s or Master’s degree in&nbsp;Computer Science,&nbsp;Engineering, or a related field</li></ul>

Teachmantra Solution

Snowflake Lead<h4>Area(s) of responsibility</h4>About Us: Birlasoft, a global leader at the forefront of Cloud, AI, and Digital technologies, seamlessly blends domain expertise with enterprise solutions. The company’s consultative and design-thinking approach empowers societies worldwide, enhancing the efficiency and productivity of businesses. As part of the multibillion-dollar diversified CKA Birla Group, Birlasoft with its 12,000+ professionals, is committed to continuing the Group’s 170-year heritage of building sustainable communities.•    We are seeking a highly skilled and motivated Data Engineer to join our data team. As a Data Engineer, you will be primarily responsible for designing &amp; developing data transformations and data models to ensure reliable and efficient data processing and analysis. You will work closely with cross-functional teams to support data-driven decision-making processes and contribute to the overall success of our insight’s teams. Key Proficiency &amp; Responsibilities: •    Expertise in DBT (Data Build Tool) for data transformation and modelling. •    Proficiency in Snowflake, including experience with Snowflake SQL and data warehousing concepts. •    Strong understanding of data architecture, data modelling, and data warehousing best practices. •    Design, develop, and maintain robust data pipelines using DBT and Snowflake. •    Implement and optimize data ingestion processes to ensure efficient and accurate data flow from various sources. •    Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and ensure data integrity and quality. •    Perform data analysis and profiling to identify and address data quality issues. •    Maintain comprehensive documentation of data workflows, models, and ETL processes. •    Stay up to date with the latest trends and technologies in data engineering, DBT, and Snowflake. •    Proven experience as a Data Engineer or similar role, with a focus on data ingestion and ETL processes. •    Experience with other ETL tools and technologies is a plus (e.g., Apache Airflow, Talend, Informatica). •    Proficient in SQL and experience with programming languages such as Python or Java. •    Familiarity with cloud platforms and services (e.g., AWS) and experience on AWS Lambda is a must. •    Adhere to and promote development best practices, including version control using Git and branching models. •    Code review to ensure consistent coding standards and practices. •    Participate in scrum methodology, including daily stand-ups, sprint planning, and retrospectives. •    Communicate effectively with team members and stakeholders to understand requirements and provide updates. •    Take ownership of assigned tasks and work independently to complete them.<h4>Experience Level</h4>Senior Level

Birlasoft Limited

Data Engineer Mandatory Skill- Azure (Azure data bricks, data factory, data lake), AWS-Scala (AWS, Scala, Hadoop, Spark)Experience- 5.5-9 YearsEarly joiners only Share your updated resume now.

Coforge

Azure Data Engineer If you have an experience between 8-13 years into Azure, databricks, Pyspark, snowflake, python, ADF, SQL, Fabric, Synapse. Kindly share your resumePlease note and mention the following in the mail body-1. Total years of experience-2. Official Notice period-3. Current &amp; preferred location-4. Relevant experience into Azure-5. Current CTC (Fixed, Variable)-6. Expected CTC-Looking for those who are serving notice period or upto 30-45 days ONLY.

Fractal Analytics Private Limited

Data Engineer LTTS Hiring Data Engineer- Bangalore.Experience: 4 -7 Years Skills:<ul><li>Pyspark</li><li>Scripting</li><li>Python</li></ul> Requirement<ul><li>Expertise in data analysis methodologies and processes and their linkages to other processes Technical expertise with data models, data mining, and segmentation techniques.</li><li>Advanced SQL skills and experience with relational databases and database design.</li><li>Strong knowledge on Python, PySpark, SQL, Java Script.</li><li>Experience building and deploying machine learning models.</li><li>Experience with integration efforts (packaged and customised applications) from a data analysis perspective.</li><li>Strong business analyst skills, able to work with many different stakeholders to elicit and document requirements</li></ul>

L&T Technology Services Ltd

Data Engineer Role Overview<ul><li>Design, build, and maintain reliable data pipelines for structured and unstructured data.</li><li>Develop and optimize ETL processes for data ingestion and transformation.</li><li>Collaborate with cross-functional teams to deliver high-quality, timely data solutions.</li><li>Ensure performance, scalability, and compliance with data governance and security standards.</li><li>Troubleshoot and resolve data quality or performance issues proactively.</li></ul> Mandatory SkillsWe are specifically looking for candidates with hands-on experience in:<ul><li>Python</li><li>PySpark</li><li>AWS EMR</li></ul> Additional Skills (Good to Have)<ul><li>AWS Services (S3, Glue, Lambda, Athena, CloudWatch)</li><li>Airflow or Jenkins for orchestration</li><li>Docker, Kubernetes for containerization</li><li>Snowflake, Redshift, or similar data warehouses</li><li>CI/CD tools (GitLab, Bitbucket)</li><li>Streaming technologies (Kafka)</li><li>Data governance tools (DataHub, Great Expectations)</li><li>Exposure to visualization tools like Tableau, Power BI, or MicroStrategy</li><li>Experience with Agile/Scrum methodologies</li><li>Retail domain experience is a plus</li></ul> Experience Required<ul><li>4+ years in a Data Engineer role</li><li>Bachelor’s degree in technology or related field</li></ul> Share your updated resume now.

TEKsystems Global Services Pvt Ltd

GCP Data Engineer What We're Looking For:<ul><li>5–9 years of experience in DB/SQL or Java/Python development</li><li>Strong SQL skills with experience in complex queries and data transformation</li><li>Hands-on with GCP components like Dataflow, Composer, BigQuery, Data Fusion</li><li>Experience in building data pipelines and dashboards (Data Studio is a plus)</li><li>Excellent communication and problem-solving skills</li></ul> Experience: 5-9 years relevant If interested, kindly share your updated CV with below details:Current and Preferred Location:Overall and relevant experience with GCP:Current and expected CTC:Notice Period/LWD(If serving):

Data Engineer Cito Techno is looking for a passionate Data Engineer to join our growing team. Experience: 4+ Years Notice Period: Immediate Joiner Skills: AWS/Azure, Python, PySpark, Databricks, SQL, Airflow Location: Bangalore, Domlur (4 days WFO) Shift: Normal Shift If you’re eager to work on cutting-edge data solutions and thrive in a collaborative environment, Send your resume.

Cito Techno

Azure Data Engineer <ul><li>Experience: 6+ Years</li><li>Interview Mode: Face To Face Interview</li><li>Mandatory Skills: Azure Databricks, Pyspark, SQL, Azure Data factory&nbsp;</li></ul> Share your updated resume now.

eSoftLabs

GCP Data Engineer Skills Required:<ul><li>Expertise in GCP ecosystem – BigQuery, Dataflow, Composer, Pub/Sub, DataProc</li><li>Strong proficiency in Python, PySpark, SQL</li><li>Knowledge of HDFS, Hadoop and large-scale data migration/engineering</li></ul> Responsibilities:<ul><li>Design, build, and optimize data pipelines on GCP</li><li>Lead and deliver end-to-end data engineering &amp; migration projects independently</li><li>Collaborate with stakeholders to build scalable and reliable cloud data solutions</li></ul> Experience: 5+ years Share your updated resume now.

Natobotics

Data Engineer -Apache Spark-Java<h4>Job Responsibilities</h4>As a Techie, Do you face these challenges while pursuing opportunities? <ul><li>Navigating numerous job platforms.</li><li>Enduring lengthy interview processes. </li><li>Tedious negotiation phases.</li><li>Ambiguity about project quality.</li><li>Getting entangled in unsatisfactory work cultures.</li><li>Wavering job security.</li></ul>What are we looking for ?Actively seeking experienced senior developers in #Spark and #Kafka who are open to working in the PST timezone. Ideal candidates should possess a minimum of 6 years of hands-on experience with Spark, Kafka, #java, Postgres, and a track record of successfully delivering 3-4 Spark projects. ﻿<h4>Experience Level</h4>Senior Level

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