Data Engineer
Core
Design, build, and optimize modern cloud data platforms and lakehouse solutions to enable scalable analytics, reporting, and AI initiatives for enterprise customers.
Role type
Senior Data Engineer (Cloud & Data Platform)
Builds
Scalable data pipelines, data models, lakehouse, data warehouse, and data factory solutions on Microsoft Azure.
Domain
Enterprise Data & AI on Microsoft Azure
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Data pipeline development (ELT/ETL), Microsoft Fabric, Azure Data Factory, Azure Data Lake Storage, Azure Synapse Analytics, Azure SQL, Azure Databricks, SQL, Python, PySpark, Data modeling (star/snowflake schemas), CI/CD implementation, Data governance
Preferred skills
Snowflake platforms, Databricks Lakehouse architecture, Microsoft Purview, Real-time/streaming data architectures, Consulting/Professional services experience, Azure AI Services, Azure OpenAI, Microsoft Copilot Studio, Vector databases, RAG architectures
Technologies
Microsoft Azure, Microsoft Fabric, Azure Data Factory, Azure Data Lake Storage, Azure Synapse Analytics, Azure SQL, Azure Databricks, Azure DevOps, Power BI, PySpark, SQL, Snowflake, Microsoft Purview
Responsibilities
Design and develop scalable data pipelines and ELT/ETL processes; Build and maintain data platforms using Microsoft Fabric and Azure services; Develop Lakehouse, Data Warehouse, and Data Factory solutions; Implement data integration across cloud and on-premises sources; Design and optimize data models for analytics and AI; Develop data transformation processes using SQL, Spark, and Python; Implement data quality, governance, and security controls; Monitor and optimize platform performance, reliability, and cost efficiency; Support CI/CD implementation and automated deployment practices.
Seniority
Senior, hands-on IC
