Data Engineer
Core
Build and manage scalable data pipelines and models within an Azure ecosystem to support business analytics and decision-making.
Role type
Data Engineer
Builds
Data pipelines, data models, and analytics solutions for the organization
Domain
Technology / Data Engineering
Deliverable
production ML models | product features
Required skills
ETL/ELT processes, data warehousing, data modeling (dimensional, normalized), T-SQL, PySpark, Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Data Lake Storage, Microsoft Fabric, Power BI, Delta Lake
Preferred skills
Advanced analytics at scale, performance tuning (indexing, partitioning, query optimization), platform evolution
Technologies
Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Event Hubs, Azure Stream Analytics, Azure Data Lake Storage, Microsoft Fabric, T-SQL, SQL Server, PySpark, SSRS, Power BI, Delta Lake
Responsibilities
Create and manage data pipelines for ingestion, transformation, and loading (ETL/ELT); Design and implement efficient data models; Optimize data storage and retrieval processes; Leverage Microsoft Fabric for data integration and orchestration; Build scalable data solutions using Azure services; Validate output to ensure reliable results for downstream teams and end users.
Seniority
Mid-level to Senior, hands-on IC
