Data Engineer

• Support the implementation, configuration, and maintenance of data pipelines and transformation workflows.
• Build and maintain ELT data pipelines using Databricks Workflows and Azure Data Factory.
• Support the ingestion of data from key systems into Lakehouse.
• Monitor pipeline execution, identify failures, and troubleshoot issues.
• Develop and maintain dbt models across staging, intermediate, and mart layers.
• Apply SQL techniques including joins, CTEs, window functions, and aggregations to support reporting and analytics needs.
• Develop and maintain Databricks notebooks and jobs for data transformation workloads.

See all jobs on JobTailor

Data Engineer