Lead AWS DE

EXL; Maharashtra; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

EXL in Maharashtra, India is hiring a data engineer to build and maintain scalable data pipelines, warehouses, and lakes for analytics and reporting. You will optimize ETL/ELT processes and collaborate with data scientists and engineering teams.

The role emphasizes data quality, governance, security across platforms and working with AWS/Azure, Spark, and Redshift. Strong SQL and Python proficiency required, with experience in large-scale distributed data systems.

Qualifications

• Proficiency in SQL, Python, Spark and Redshift.
• Experience with cloud data platforms (AWS/Azure), preferably AWS.
• Knowledge of data modelling, governance, and metadata.
• Understanding of large-scale distributed data systems.

Responsibilities

• Develop and optimise data pipelines and ETL/ELT processes.
• Build and maintain data warehouse and data lake structures.
• Ensure data quality, governance, and security across platforms.
• Collaborate with data scientists and engineering teams.
• Monitor performance and troubleshoot data workflows.

Skills

SQL

Python

Spark

Tools

Redshift

AWS

Azure

Job description

Summary

Build and maintain scalable data pipelines, warehouses, and lakes to ensure accurate, accessible, and secure data for analytics and reporting.

Key Responsibilities

• Develop and optimise data pipelines and ETL/ELT processes.
• Build and maintain data warehouse and data lake structures.
• Ensure data quality, governance, and security across platforms.
• Collaborate with data scientists and engineering teams.
• Monitor performance and troubleshoot data workflows.

Skills Required

• Strong SQL, Python, Spark, Redshift.
• Experience with cloud data platforms (AWS/Azure). Preferably AWS.
• Knowledge of data modelling, governance, and metadata.
• Understanding of large-scale distributed data systems.