About this role

Lead the design and implementation of ETL processes using batch/streaming tools.
Optimize data pipelines for performance, scalability, and reliability.
Integrate data from diverse sources, ensuring data quality and consistency.
Write Apache Beam based Dataflow Job for data extraction, transformation, and analysis.
Implement automation for ETL workflows using tools like Apache Airflow or Cloud Composer.
Apply best practices for data governance, ensuring compliance with industry regulations.
Document ETL processes, data models, and architecture for knowledge sharing.

Bachelor’s degree in Computer Science, Information Systems, or a related field.
Minimum of 5 years of industry experience in data engineering or ETL development.
Strong knowledge of GCP services (e.g., BigQuery, Dataflow, Cloud Storage).
Experience of cloud-based solutions, especially in GCP.
Familiarity with Java & Python for data manipulation on Cloud/Bigdata platform.

Senior Data Engineer – ETL

Key skills