- Designing, developing, and maintaining data infrastructure and systems.
- Design, develop, and maintain our data infrastructure and systems
- Develop and maintain data pipelines to ingest data, ensure data quality and integrity
- Design and implement data models and database schemas to support business objectives
- Develop and maintain data pipelines to support data processing and analysis
- Partner with cross-functional teams to identify and prioritize data requirements and use cases
- Manage and optimize distributed systems and data storage solutions
- Develop and maintain best practices and standards for data engineering within the organization
Mandatory:
Azure, ADF, ADLS2, Databricks, Python, PySpark, DevOps, AI factory, Pygentic
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