Description

Design, build, and maintain scalable ETL/ELT pipelines using Python and Apache Airflow for enterprise data processing.

This role is on-site.

Responsibilities

• Own the dbt Core transformation layer, including models, tests, documentation, and deployment across the data platform.
• Manage the full data life cycle across ingestion, transformation, quality, storage, and retention processes.
• Define data management standards for data quality, cataloging, and lineage to ensure governance compliance.
• Administer and optimize the Airflow environment, including Cloud Composer, for workflow management.

Required Skills

• 5+ years of experience in data engineering with a strong understanding of data management principles.
• Proficiency in Python, Apache Airflow, ETL/ELT, dbt Core, SQL, Git, and CI/CD.
• Experience designing and maintaining data pipelines and data management systems.
• Ability to write automated tests for data pipelines and dbt models.
• Experience with relational or cloud data warehouse platforms.
• Familiarity with Agile development methodologies.

Preferred Skills

• Experience with Google Cloud Platform (GCP), Google Cloud Storage (GCS), and Cloud Composer.
• Experience with Kafka or other event-driven data streaming tools.

Key Skills

Education

Any Graduate