AWS Data Engineer

OVERVIEW
  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: 6-8 Years 

Key Skills: Python, PySpark, SQL, AWS Cloud, S3, Glue, Lambda, EventBridge, Step Functions, Athena.

Job Description:
We are looking for an experienced AWS Data Engineer to design, develop, and maintain scalable data pipelines and cloud-based data solutions on AWS.

Key Responsibilities:

• Develop and optimize data pipelines using Python, PySpark, and SQL .
• Build and manage ETL workflows using AWS Glue .
• Work with S3, Athena, Lambda, EventBridge, and Step Functions for data processing and orchestration.
• Develop scalable and reliable AWS data solutions.
• Perform data transformation, validation, and troubleshooting.
• Collaborate with data analysts, architects, and engineering teams to deliver data solutions.