Data Engineer (all genders welcome)
Core
Designing and operating modern data pipelines, Lakehouse, and Data-Warehouse solutions for reporting, analytics, and AI requirements.
Role type
Data Engineer
Builds
Scalable data platforms, reusable pipeline standards, and modern data architectures (Lakehouse, Warehouse, Medallion)
Domain
Data Engineering, Cloud Data Platforms, AI/ML Infrastructure
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, Python, Spark, ETL/ELT pipeline development, Data modeling, CI/CD implementation, Cloud platform usage
Preferred skills
Microsoft Fabric, Azure Synapse Analytics, Azure Data Factory, Azure DevOps, AI tooling integration
Technologies
SQL, Python, Spark, Microsoft Fabric, Azure Synapse Analytics, Azure Data Factory, Azure DevOps, Git
Responsibilities
Develop, implement, and maintain data pipelines across multiple sources; Integrate new data sources and build ingestion/transformation/orchestration processes; Ensure data quality, stability, and performance via monitoring and testing; Collaborate with product owners and business units to translate requirements into technical solutions; Optimize existing data processes and troubleshoot issues; Document data flows and support knowledge transfer
Seniority
Mid-level, hands-on IC
