AWS DATA ENGINEER

EXL is recognized as a global leader in the fields of analytics, artificial intelligence, and digital solutions, catering to a diverse range of industries. As you may know, this company specializes in digital transformation and is publicly traded on NASDAQ under the ticker symbol EXLS. With a market valuation of approximately $1.3 billion, EXL boasts a workforce of over 48,000 employees spread across the globe. The company proudly serves more than 800 clients worldwide, demonstrating its extensive reach and influence in the market.
 

AWS Data Engineer

Experience: 7–9 Years
Selection Process: HackerEarth Test → 3 Technical Rounds

Role Overview

We are looking for an experienced AWS Data Engineer with strong hands-on expertise in AWS data engineering, Python, SQL, Snowflake, and Jenkins. The candidate will be responsible for developing, maintaining, and optimizing scalable data pipelines and cloud-based data solutions.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines on AWS .
• Develop data processing and automation solutions using Python and SQL.
• Work extensively with Snowflake for data warehousing, data integration, and optimization.
• Build and manage CI/CD pipelines using Jenkins .
• Develop complex SQL queries, stored procedures, and data transformation logic.
• Integrate data from multiple sources into cloud-based data platforms.
• Monitor, troubleshoot, and optimize data pipelines for performance and reliability.
• Collaborate with data analysts, architects, and other engineering teams to deliver data solutions.

Mandatory Skills

• 7–9 years of Data Engineering experience
• Strong hands-on experience with AWS
• Strong Python programming skills
• Excellent SQL skills
• Strong experience with Snowflake
• Hands-on experience with Jenkins / CI-CD
• Experience in developing and managing ETL/ELT data pipelines
• Good understanding of data warehousing concepts and cloud data engineering

Selection Process

HackerEarth Assessment → 3 Technical Rounds