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Cloud Data Engineering Specialist
2 weeks ago
Job Title: Data Engineer
About the Role:
We are seeking a data engineering professional with 4-7 years of experience to design and optimize scalable data pipelines using Azure Databricks, PySpark, and Delta Lake.
The ideal candidate will have strong analytical skills, expertise in T-SQL programming, and hands-on experience with Azure cloud tools. Experience with Unity Catalog for centralized data governance, access control, and data lineage tracking is also highly desirable.
- Work with different teams to develop high-quality database requirements.
- Create and deploy efficient ETL/ELT pipelines with Azure Databricks by utilizing PySpark and SQL.
- Create Delta Lake tables with ACID transactions and schema evolution to support real-time and batch processing.
Mandatory Qualifications:
- 4-7 years of experience as a data engineer.
- Self-driven with minimal supervision.
- Proven experience with T-SQL programming, Azure Databricks, Spark (PySpark/Scala), Delta Lake, Unity Catalog, ADLS Gen2
Key Responsibilities:
- Design and Develop Scalable Data Pipelines: Utilize Azure Databricks, PySpark, and Delta Lake to build efficient ETL/ELT pipelines that meet business requirements.
- Implement Data Governance: Leverage Unity Catalog for centralized data governance, access control, and data lineage tracking.
- Collaborate with Teams: Work closely with various teams to ensure high-quality database requirements are met.