Work together with data scientists and analysts to understand data needs and build data pipelines
Design, implement, and maintain data pipelines for ingestion, processing, and transformation using
Create and maintain data solutions in Azure using Data Factory, Synapse, Databricks/Spark
Implement data validation and cleansing to ensure data quality, integrity and dependability
Improve scalability, efficiency, and cost-effectiveness of data pipelines
Monitor and resolve data pipeline problems ensuring data consistency and availability

🎯 Requirements

Proficient in Python and SQL
Knowledge of data design principles (Kimball, Star Schema), data warehousing concepts and data
Strong experience with Relational and ideally NoSQL databases
Strong understanding of ETL/ELT processes
Exposure to data monitoring and observability tools
Experience with Event-Driven Architecture

🎁 Benefits

Hybrid work and flexible working hours

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