Note : If screened-in, you will be invited for initial rounds on 10th October 2026 (Saturday) in Bangalore.

Role Overview :

We are looking for a highly skilled and motivated Senior Data Engineer to join our growing data engineering team.

Key Responsibilities :

- Build services that integrate directly with client products and external vendors.
- Work with modern data technologies such as Hadoop, Spark, DBT, Dagster/Airflow, Atlan, Trino, Databricks, Snowflake, and AWS.
- Identify, design, and implement automation of manual processes, optimizing data delivery and reducing Cloud costs.
- Implement systems to monitor Data Quality, Observability, Governance, and Lineage.
- Manage the production environment and resolve production issues with RCA.
- Write unit/integration tests, adopt Test-driven development, and contribute to engineering documentation.

Skills Required :





- 6+ years of production-quality coding experience in Python focused on data pipeline development.
- Robust hands-on experience with distributed systems and big data technologies (Hadoop, Spark, Hive, DBT, Airflow/Dagster).
- Experience with AWS, Databricks, and/or Snowflake.
- Proficiency in Git, JIRA, Jenkins, and shell scripting.
- Strong understanding of Agile, source control, and Test-Driven Development.

Required Qualifications :

- Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
- 6+ years of experience in Data Engineering or related roles.
- Self-driven, proactive, and strong communication skills.
- Passion for building scalable and maintainable data systems.

📌 EXL - AWS Data Engineer (India)
🏢 Hirist.tech
📍 India