Data Engineering Specialist
Core
Design and improve scalable data solutions, build and maintain data pipelines, and support data platform needs for analysts, data scientists, and business users.
Role type
Senior hands-on IC data platform engineer
Builds
Data pipelines, data warehouses, data lakes, and backend data solutions
Domain
Enterprise data engineering and cloud data platforms
Deliverable
production ML models | product features
Required skills
Python, Spark, SQL, Git, Terraform, medallion architecture, data structures and algorithms
Preferred skills
Azure Data Factory, Airflow, Kubernetes, Power BI, stream-processing technologies
Technologies
Microsoft Fabric, Azure, Databricks, Purview, SQL Server, PostgreSQL, Cosmos DB, Kafka, Hadoop
Responsibilities
Build and maintain data solutions in Microsoft Fabric across Bronze, Silver, and Gold layers; Design, build, and maintain data pipelines using SQL and big data tools; Apply DevOps practices to improve development and deployment; Monitor data pipelines and provide support when issues arise; Help guide technical decisions, review code, and share best practices with the team.
Seniority
Senior, hands-on IC
