About this role

Key Responsibilities

  • 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

  • 3โ€“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:
    • Amazon Redshift
    • AWS Lambda
    • Amazon S3
    • AWS Glue (preferred)
    • AWS IAM
    • 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.
  • Strong analytical, problem-solving, and debugging skills.
  • Excellent communication and documentation skills.
  • Ability to manage multiple tasks and work effectively in a collaborative environment.

Preferred Skills

  • Experience with CI/CD pipelines and DevOps practices.
  • Knowledge of Spark, PySpark, or Databricks is an advantage.
  • Exposure to AI/ML data pipelines and feature engineering.
  • Familiarity with Agile/Scrum development methodologies.
  • AWS Certification (Developer Associate or Data Engineer Associate) is a plus.

Key Competencies

  • AWS Data Engineering
  • ETL/ELT Development
  • SQL & Python
  • Amazon Redshift
  • AWS Lambda
  • Amazon S3
  • Data Warehousing
  • Unit Testing
  • Technical Documentation
  • Problem Solving
  • Team Collaboration
  • Multitasking
  • Agile Development

Educational Qualification

  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
  • Relevant AWS certifications will be an added advantage.

Frequently Asked Questions

Is the salary disclosed for the AWS Data Engineer position at EXL Talent Acquisition Team?
The salary for this AWS Data Engineer role at EXL Talent Acquisition Team is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the AWS Data Engineer position at EXL Talent Acquisition Team located?
This AWS Data Engineer role at EXL Talent Acquisition Team is based in Bengaluru, Karnataka, India. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
How do I apply for the AWS Data Engineer position at EXL Talent Acquisition Team?
Click the "Apply Now" button on this page. You will be redirected to EXL Talent Acquisition Team's official application portal hosted on oraclecloud where you can submit your application directly.
When was the AWS Data Engineer job at EXL Talent Acquisition Team posted?
This AWS Data Engineer position at EXL Talent Acquisition Team was posted on Aug 4, 2026. Apply as soon as possible โ€” early applications are often reviewed first.
AWS Data Engineer
EXL Talent Acquisition Team
Apply for this role โ†—

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