AWS Data Engineer at EXL

Department: Advanced Data SolutionsEducation: Bachelor's Degree

Setup: Hybrid
Location: Pune, Maharashtra
Type: Full-time
Level: senior
Posted: Sep 8, 2026

Description

The AWS Data Engineer will design and implement scalable, secure, and cost-optimized AWS data architectures for a Fortune 500 client program focused on financial master and reference data management. The role involves building ETL pipelines with AWS Lambda and Glue, developing PySpark applications, optimizing Apache Iceberg data lakes, orchestrating event-driven workflows, integrating Starburst, implementing CI/CD and unit testing, and connecting internal and external data sources. Required expertise includes AWS services, Apache Spark, Python, Kafka, and data lake technologies.

Required Skills

AWS architecture
PySpark
Apache Iceberg
AWS Glue ETL
AWS Lambda
Apache Kafka
Python
AWS Step Functions
AWS Athena

Additional Information

Required Previous Experiences: Hands-on experience with Spark, Iceberg, EMR, Starburst/Trino, and event-driven architectures
Experience building real-time and API-driven data applications
Deep experience with Apache Spark development, unit testing, and performance optimization
Experience with Apache Kafka and Confluent Kafka
Experience designing and optimizing Apache Iceberg data lakes

About EXL

EXL

data and AINew York, NY, US60000

EXL helps organizations transform workflows and drive business outcomes, providing trusted data foundations, enterprise AI, agentic deployment and AI-powered operations. Its offerings include AI-ready data foundations, AI services from strategy to deployment and adoption, AI-led operations, and industry-specific AI-powered solutions.

Open roles: 756
New in 30 days: 682
Founded: 1999

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