Skills

analytics
azure
data-ingestion
data-lake
data-pipelines
data-warehousing
databricks
etl
lakehouse
microsoft-fabric
powerbi
python
snowflake
sql
tableau

Full description

The Data Engineer role focuses on data management, pipeline development, and warehouse/lakehouse engineering. The position involves working with Microsoft Fabric, Snowflake, Databricks, SQL, Python, and BI tools to build reliable data solutions and support analytics needs.

Responsibilities:

Develop and maintain data pipelines for ETL processes.
Design and optimize SQL queries and data warehouse structures.
Work with Azure tools, Databricks, Snowflake, and storage services for data processing.
Build and support medallion-based data lake and data model frameworks
Implement full and incremental data ingestion approaches.
Create dashboards and reports using Power BI, Tableau, or similar BI tools.
Document data workflows, processes, and technical outputs
Collaborate with data analysts and software engineers to deliver datasets.

Responsibilities:

Develop and maintain data pipelines for ETL processes.
Design and optimize SQL queries and data warehouse structures.
Work with Azure tools, Databricks, Snowflake, and storage services for data processing.
Build and support medallion-based data lake and data model frameworks
Implement full and incremental data ingestion approaches.
Create dashboards and reports using Power BI, Tableau, or similar BI tools.
Document data workflows, processes, and technical outputs
Collaborate with data analysts and software engineers to deliver datasets.