Data Engineer (Databricks)

Job Title: Data Platforms Engineer (Data Warehouse)

Location:

Employment Type:

About the Role:

Key Responsibilities:

• Design, develop, and maintain end-to-end data warehouse solutions.
• Build and manage ETL/ELT pipelines using

  dbt

   and

  Airflow

  .
• Work with

  Snowflake

   and

  Google BigQuery

   for data modeling, transformation, and optimization.
• Ensure high data quality, availability, and performance across platforms.
• Provide

  L3 data engineering support

  , troubleshooting production issues and optimizing workflows.
• Collaborate with data analysts, data scientists, and business stakeholders to support data-driven decision-making.
• Document architecture, data flows, and process improvements.

Required Skills:

• Strong hands-on experience with

  Snowflake

   and/or

  Google BigQuery

  .
• Proficiency in

  dbt

   for data transformations.
• Experience with

  Airflow

   for orchestration and workflow management.
• Strong SQL and data modeling skills.
• Good understanding of cloud-based data warehousing concepts.
• Experience in

  L3 support

   for data pipelines and warehouse environments.

Nice to Have:

• Exposure to

  Databricks

   and Spark-based data processing.
• Experience with CI/CD and infrastructure-as-code for data environments.
• Familiarity with data governance, cataloging, and observability tools.