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.

- Strong 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.