Data Engineer ( AWS, Redshift, PySpark, Glue )

Tata Consultancy Services; Pune District; On-site; INR 1,000,000 - 1,500,000; Full time

Job summary

A leading IT consulting firm is seeking an experienced AWS Data Engineer to design and implement scalable data solutions for BFSI projects. You will develop ETL pipelines, optimize Redshift data warehouses, and collaborate with cross-functional teams on data quality and compliance. The ideal candidate has 4-10 years of experience and strong proficiency in AWS services, PySpark, and SQL. This full-time, mid-senior level role is located in Pune and is onsite.

Qualifications

• 4–10 years of experience as a data engineer or in a related role.
• Strong expertise in AWS services and data processing frameworks.

Responsibilities

• Develop and maintain ETL pipelines using AWS Glue and PySpark.
• Design and optimize Amazon Redshift data warehouses.
• Implement data ingestion and transformation workflows.
• Collaborate with teams to ensure data quality and compliance.
• Monitor and troubleshoot data processes.

Skills

AWS services proficiency (Glue, Redshift, S3, Lambda)

Hands-on experience with PySpark

Expertise in SQL and query optimization for Redshift

Data modeling and warehousing concepts

Familiarity with CI/CD pipelines and Git

Analytical and problem-solving skills

Job description

Recruitment Associate at Tata Consultancy Services

Location: Chennai / Pune ( Onsite )

Experience: 4–10 years

Notice Period: 30–60 days

Drive Type: Virtual Drive

Drive Date: 12-Dec-2025

Role Overview

We are hiring an experienced AWS Data Engineer with strong expertise in Redshift, PySpark, and Glue to design and implement scalable data solutions for BFSI projects. The candidate will work on building data pipelines, optimizing data warehouses, and handling large datasets in a cloud environment.

Key Responsibilities

• Develop and maintain ETL pipelines using AWS Glue and PySpark.
• Design and optimize Amazon Redshift data warehouses for performance and scalability.
• Implement data ingestion and transformation workflows for structured and semi-structured data.
• Collaborate with cross-functional teams to ensure data quality, security, and compliance.
• Monitor and troubleshoot data processes to ensure reliability and efficiency.
• Participate in Agile ceremonies and contribute to sprint deliverables.

Required Skills

• Strong proficiency in AWS services: Glue, Redshift, S3, Lambda.
• Hands‑on experience with PySpark for big data processing.
• Expertise in SQL and query optimization for Redshift.
• Solid understanding of data modeling and data warehousing concepts.
• Familiarity with CI/CD pipelines and version control tools (Git).
• Excellent analytical and problem‑solving skills.

Nice to Have

• Experience with Infrastructure as Code (CloudFormation/Terraform).
• Knowledge of data lake architecture and best practices.
• Exposure to financial domain (BFSI) projects.

Thanks & Regards ,

Somesh Singh

Talent Acquisition Group

Website: http://www.tcs.com

E-Mail :- [e-mail]

Contact Number :- [phone]

LinkedIn:- linkdin.com/in/mrsomeshsingh

Seniority level

• Mid‑Senior level

Employment type

• Full‑time

Job function

• Information Technology

Industries

• IT Services and IT Consulting