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Data Solutions Developer
3 weeks ago
We are seeking a skilled Data Engineer to design and optimize scalable data pipelines using Azure Databricks, PySpark, and Delta Lake.
- Collaborate with cross-functional teams to develop robust database solutions that meet business needs.
- Utilize your expertise in Azure cloud platforms to build efficient ETL/ELT pipelines, ensuring seamless data governance and integrity.
- Create and deploy scalable ETL/ELT pipelines with Azure Databricks, leveraging PySpark and SQL for optimal performance.
- Implement Delta Lake tables with ACID transactions and schema evolution to support real-time and batch processing requirements.
- Design and implement Unity Catalog for centralized data governance, access control, and data lineage tracking.
- Analyse, solve, and correct issues independently, providing end-to-end problem resolution.
- Develop unit tests to ensure automatic testing and validation.
- Adhere to SOLID development principles to maintain data integrity and cohesiveness.
- Maintain open communication with product owners and business stakeholders to determine and satisfy business needs.
Mandatory Qualifications:
- A minimum of 4-7 years of experience as a Data Engineer.
- Ability to work with minimal supervision.
- Demonstrated expertise in T-SQL programming, Azure Databricks, Spark (PySpark/Scala), Delta Lake, Unity Catalog, ADLS Gen2.
- Familiarity with Microsoft TFS, Visual Studio, Devops.
- Experience with cloud platforms such as Azure or similar.
- Strong analytical and problem-solving skills.
Preferred Qualifications
- Healthcare domain knowledge.