Walk In || AWS Data Engineer + Pyspark

Tata Consultancy Services; Pune District; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

Tata Consultancy Services in Pune is seeking an experienced AWS Data Engineer to design, build, and optimize scalable data pipelines and analytics solutions on AWS. The ideal candidate has strong expertise in cloud-native data services, big data processing, and end‑to‑end data engineering practices.

We value proficiency in Python and SQL, experience with Spark/PySpark/Hadoop, and a track record of building data lakes, data warehouses, and lakehouse architectures.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field.
• Strong experience with AWS services used for data engineering (Glue, S3, Lambda, EMR, Redshift, Athena, Kinesis).
• Proficiency in Python and SQL.
• Hands‑on experience with distributed data processing frameworks (Spark, PySpark, Hadoop).
• Experience building data lakes, data warehouses, and lakehouse architectures.
• Strong understanding of ETL/ELT design patterns and data modeling (Star/Snowflake).
• Knowledge of CI/CD, infrastructure‑as‑code (Terraform/CloudFormation), and Git.
• Familiarity with data governance, security, and compliance frameworks

Skills

AWS data services

Python

SQL

Spark/Hadoop

Data lakes/warehouses

ETL/ELT design

CI/CD/IaC

Git

Data governance

Education

Bachelor’s degree in Computer Science, Engineering, or related field

Tools

Terraform

CloudFormation

Git

Job description

Come and join us for an exciting career with TCS!!!

Experience: 5 - 15 Years

Walk In Venue: TCS Pune (Sahyadri Park,Plot No. 2 & 3 ,Phase 3)

Walk In Date - 01-August-26 (Saturday)

Role Summary

We are seeking an experienced AWS Data Engineer to design, build, and optimize scalable data pipelines and analytics solutions on AWS. The ideal candidate has strong expertise in cloud-native data services, big data processing, and end‑to‑end data engineering practices.

Required Skills & Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field.
• Strong experience with AWS services used for data engineering (Glue, S3, Lambda, EMR, Redshift, Athena, Kinesis).
• Proficiency in Python and SQL.
• Hands‑on experience with distributed data processing frameworks (Spark, PySpark, Hadoop).
• Experience building data lakes, data warehouses, and lakehouse architectures.
• Strong understanding of ETL/ELT design patterns and data modeling (Star/Snowflake).
• Knowledge of CI/CD, infrastructure‑as‑code (Terraform/CloudFormation), and Git.
• Familiarity with data governance, security, and compliance frameworks