14 days ago
Kraków, PolandSenior
Responsibilities
- Collaborate with business users and technical teams to understand requirements.
- Design, develop, and maintain data ingestion, transformation, and delivery pipelines in Microsoft Fabric.
- Build and optimize ETL/ELT processes for analytics consumption.
- Develop and maintain Fabric Dataflows, Lakehouse, and Warehouse solutions.
- Ensure data is accessible, reliable, scalable, secure, and governed across platforms.
- Optimize data-platform performance and cost for large datasets.
- Participate in Agile team processes and sprint ceremonies.
- Apply analytical and problem-solving skills to deliver high-quality data solutions.
Requirements
- Deep expertise in Microsoft Fabric data engineering capabilities, including Dataflows, Lakehouse, and Warehouse.
- Experience with Azure Data Services, including Synapse, Data Factory, and Data Lake.
- Advanced SQL skills.
- Experience using Python and Spark for data transformation.
- Strong understanding of data modeling, including star schemas.
- Experience building scalable data pipelines for large datasets.
- Strong analytical, problem-solving, technical, and business skills.
- Experience in financial services data environments is desirable.
Tech Stack
Categories
Data Engineering
About Cognizant
Cognizant is a public IT services and consulting firm that designs, builds, and runs enterprise technology, including digital engineering, cloud modernization, data/AI, and managed services. It sells consulting, systems integration, and outsourcing on multi-year engagements to large enterprises in healthcare, banking, retail, communications, and manufacturing. Founded in 1994 and headquartered in Teaneck, New Jersey, Cognizant is NASDAQ-listed (CTSH) and a Fortune 500 company.