Principal Data Engineer
Core
Design, develop, and maintain end-to-end data analytical solutions for clients in the gaming industry using Microsoft on-premises and cloud technologies.
Role type
Principal Data Engineer
Builds
End-to-end data analytical solutions, Data Warehouses, Data Lakes, and real-time analytics pipelines
Domain
Gaming industry, Cloud Data Engineering, Microsoft Azure ecosystem
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Data engineering, Dimensional Modeling, ETL patterns, Query optimization, Data governance, Real-time data streaming, Federated querying, Data warehouse architecture, NoSQL databases, Data catalog management
Preferred skills
DataOps, MLOps, Containerization, Hadoop ecosystems, Azure Databricks, Azure ML, Azure Cognitive Services
Technologies
Azure Synapse Analytics, Azure SQL, MS SQL Server, Azure Data Factory, SSIS, SSAS, PowerBI, Snowflake, Azure Data Lake Storage Gen2, Azure Stream Analytics, U-SQL, PolyBase, Docker, Kubernetes, Kafka, Hive, Spark
Responsibilities
Lead design and development of data solutions, Engage in requirement elicitation with clients, Mentor junior team members, Deliver innovative analytical solutions
Seniority
Principal, hands-on IC with mentorship