Data Engineer
Core
Design and implement scalable enterprise data transformation solutions using large-scale ingestion, processing, storage, and analytics.
Role type
Senior Data Engineer (Azure/Databricks)
Builds
Scalable data pipelines (ELT), data warehousing solutions, and secure data platforms on Microsoft Azure.
Domain
Enterprise Data Engineering, Cloud Infrastructure
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, SQL, Databricks, PySpark, Microsoft Azure (Data Factory, ADLS gen2, Event Hubs, Azure SQL, Azure Key Vault), CI/CD, Agile practices, unit & integration testing
Preferred skills
Kafka, Delta Lake, Pandas, AI & ML technologies
Technologies
Databricks, PySpark, Microsoft Azure, Data Factory, ADLS gen2, Event Hubs, Azure SQL, Azure Key Vault, Azure DevOps, Kafka, Delta Lake
Responsibilities
Design, build, test, and maintain ELT data pipelines; implement secure platforms with data governance; propose technical designs and develop integrations; deliver data migrations between legacy and modern platforms; design and deliver data warehousing solutions; support cross-functional teams across the data space.
Seniority
Senior, hands-on IC
