AWS Data Engineer

City: Bengaluru

State/Province: Karnataka

Posting Start Date: 2/24/26

Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients' most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.

Job Description:

Role View:-

We are looking for a Senior Data Engineer to join our Backlog Team, responsible for delivering, stabilizing, and optimizing data engineering work that supports ongoing business and analytics needs. This role focuses on improving existing data pipelines, resolving technical debt, enhancing performance, and completing prioritized backlog items across our AWS-based data platform.

You'll work closely with product owners, analysts, and other engineers to ensure reliable, scalable, and well-documented data solutions.

Job Description: -

Key Responsibilities

• Deliver and maintain data engineering backlog items, including enhancements, bug fixes, and refactoring

• Design, build, and optimize data pipelines using AWS services

• Troubleshoot and resolve data quality, performance, and reliability issues

• Refactor legacy pipelines to improve scalability, cost efficiency, and maintainability

• Collaborate with stakeholders to clarify backlog requirements and define technical solutions

• Improve observability, monitoring, and alerting for data pipelines

• Implement data validation, error handling, and recovery mechanisms

• Support incremental migrations to modern AWS data architectures

• Document data flows, transformations, and operational procedures

• Contribute to best practices, coding standards, and automation efforts

S kills:-

Required Skills & Experience

• Strong experience as a Data Engineer in AWS environments

• Hands-on experience with AWS services such as:

o S3, Glue, Lambda, Step Functions

o Redshift, Athena

o EMR and/or Spark

• Proficiency in Python and SQL

• Experience building and maintaining ETL/ELT pipelines

• Familiarity with data modeling concepts (star schema, fact/dimension tables)

• Experience working with Agile teams and managing technical backlog items

• Understanding of data quality, lineage, and governance concepts

Nice to Have

• Experience with infrastructure as code (Terraform, CloudFormation)

• CI/CD for data pipelines

• Experience handling legacy systems or technical debt

• Familiarity with cost optimization in AWS

Deliver
No. Performance Parameter Measure 1. Continuous Integration, Deployment & Monitoring of Software 100% error free on boarding & implementation, throughput %, Adherence to the schedule/ release plan 2. Quality & CSAT On-Time Delivery, Manage software, Troubleshoot queries, Customer experience, completion of assigned certifications for skill upgradation 3. MIS & Reporting 100% on time MIS & report generation