AWS Data Engineer

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Skills you'll use

What you'll do

• Design, develop, and optimize scalable ETL/ELT pipelines for data ingestion and transformation.
• Build and maintain robust data pipelines using AWS cloud services.
• Partner with Business Intelligence (BI), AI/ML, and Infrastructure teams to deliver reliable and scalable data platform solutions.
• Develop efficient SQL queries and Python scripts for data processing, automation, and analytics.
• Create and maintain technical documentation, including solution designs, data flow diagrams, and operational guides.
• Develop comprehensive unit tests and perform code reviews to ensure high-quality, reliable, and maintainable code.
• Monitor, troubleshoot, and optimize data pipelines to ensure performance, scalability, and reliability.
• Work on multiple projects simultaneously while managing priorities in a fast-paced environment.
• Follow coding standards, best practices, and data governance guidelines.
• Required Skills & Qualifications

Who can apply

• 3–5 years of hands-on experience in Data Engineering.
• Strong experience in designing and developing ETL/ELT pipelines.
• Proficiency in SQL and Python programming.
• Hands-on experience with AWS services, including:
• AWS Glue (preferred)
• Amazon CloudWatch
• Experience with workflow orchestration tools such as Apache Airflow (preferred).
• Understanding of data warehousing concepts and dimensional data modeling.
• Knowledge of version control systems such as Git.
• Experience writing unit tests and following software development best practices.

About EXL

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