Data Engineer
Core
Building and maintaining data platforms and data-driven solutions in a complex international environment to ensure data availability, quality, and usability for reporting, analysis, and decision-making.
Role type
Senior Data Engineer
Builds
Enterprise Data Lake, data pipelines, SQL-based solutions, and data models
Domain
Technology / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Azure Data Lake, Azure Data Factory, Databricks, Azure DevOps, Apache Spark (PySpark), Python, Power BI, database design, information modeling, scripting and automation
Preferred skills
Experience with Microsoft Azure data platforms
Technologies
Azure, Databricks, Apache Spark, Python, Power BI, SQL
Responsibilities
Onboard and manage data in an Enterprise Data Lake; Develop and maintain data pipelines to move and transform data to SQL-based solutions; Create and evolve data models for reporting and analysis; Implement business logic and KPI definitions based on business requirements; Collaborate with business units and Business Analysts to identify needs; Manage, support, and further develop delivered solutions.
Seniority
Senior, hands-on IC