AWS Data Engineer (5-8 Years), Pune/ Hyderabad
Tata Consultancy ServicesRole Overview
Tata Consultancy Services is hiring a mid-level AWS Data Engineer (5-8 Years), Pune/ Hyderabad. This is a full-time role in Hyderabad. Part of Tata Consultancy Services's Data Engineering hiring, posted 3 days ago. Full responsibilities, required qualifications, and the apply link are listed in the description below.
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Job Description
Dear Professionals
Greetings from Tata consultancy Services,
Job Title AWS Data Engineer with Pyspark
Experiernce: 5-10 Years
Location: Only Pune/ Hyderabad
Mode of Work : Work from Office
Mode of Interview: Virtual
Key Responsibilities
- Data Pipeline Development: Design, build, and optimize scalable batch and near-real-time ETL/ELT pipelines using PySpark and AWS data services.
- Cloud Ingestion & Processing: Process massive datasets from diverse sources including structured databases, APIs, and raw flat files.
- Workload Migration: Migrate legacy on-premises workloads (such as Ab Initio, Informatica, or SSIS) into modern cloud-based data lakes.
- Pipeline Orchestration: Develop, monitor, and schedule complex workflows using Apache Airflow or AWS Step Functions.
- Performance Tuning: Debug and optimize Spark code using the Spark UI, managing memory bottlenecks, skewness, and partitioning issues.
- Data Warehousing & Architecture: Model data structures utilizing Star/Snowflake schemas, Data Lakehouses, or Data Vault patterns.
- Collaborative Delivery: Participate in Agile/Scrum processes, code reviews, and provide technical guidance to junior team members
Technical Skill Requirements
Must-Have Skills
- Core Language: Advanced Python programming and solid SQL querying skills (CTEs, Window functions, complex joins).
- Big Data Framework: Deep understanding of Apache Spark architecture and hand-on PySpark scripting.
- AWS Core Analytics Stack:
- AWS Glue (ETL Jobs, Crawlers, and Catalog management)
- Amazon EMR (Cluster provisioning and configurations)
- Amazon S3 (Data storage strategies, partitioning, Parquet/ORC file optimization)
- Amazon Redshift / Snowflake (Data warehousing and query optimization)
- AWS Lambda & Step Functions (Serverless execution and workflow automation)
- Version Control: Git / GitHub Actions.
If you are Interested in the above opportunity kindly share your updated resume to pullagura.gokulsaiakhil@tcs.com immediately with the details below (Mandatory)
Name:
Contact No.
Email id:
Skillset:
Total exp:
Relevant Exp:
Fulltime highest qualification (Year of completion with percentage scored):
Current organization details (Payroll company):
Current CTC:
Expected CTC:
Notice period:
Current location:
Preffered Location
Any gaps between your education or career (If yes pls specify the duration):
Will you be able to join within 30/45 days? (Yes/NO)
Frequently Asked Questions
How do I apply for the AWS Data Engineer (5-8 Years), Pune/ Hyderabad position at Tata Consultancy Services?
Use the Apply button above to submit your application directly to Tata Consultancy Services. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Where is the AWS Data Engineer (5-8 Years), Pune/ Hyderabad position at Tata Consultancy Services located?
This position is based in Hyderabad. Tata Consultancy Services has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.
What does a AWS Data Engineer (5-8 Years), Pune/ Hyderabad at Tata Consultancy Services earn?
Tata Consultancy Services has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.
When was the AWS Data Engineer (5-8 Years), Pune/ Hyderabad role at Tata Consultancy Services posted?
This role was posted on June 5, 2026 (3 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
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