
Cloud Scalable Data Solutions Specialist
3 days ago
Job Overview:
We are seeking a self-driven Data Engineer with 4–7 years of experience to build and optimize scalable ETL/ELT pipelines using Azure Databricks, PySpark, and Delta Lake.
- Work collaboratively with cross-functional teams to develop high-quality database programming requirements.
- Possess extensive knowledge in Azure cloud platforms like Advanced Python Programming, Databricks, Azure SQL, Data factory (ADF), Data Lake, Data storage, SSIS.
- Create and deploy robust ETL/ELT pipelines with Azure Databricks by utilizing PySpark and SQL.
- Develop Delta Lake tables with ACID transactions and schema evolution to support real-time and batch processing.
- Familiarity with Unity Catalog for centralized data governance, access control, and data lineage tracking.
Key Responsibilities:
- Analyze, solve, and correct issues in real time, providing end-to-end problem resolution.
- Develop unit tests to ensure seamless automation.
- Adhere to SOLID development principles to maintain data integrity and cohesiveness.
- Collaborate closely with product owners and business representatives to determine and satisfy needs.
Requirements:
- 4-7 years of experience as a data engineer.
- A self-motivated individual with minimal supervision.
- Demonstrated expertise with T-SQL programming, Azure Databricks, Spark (PySpark/Scala), Delta Lake, Unity Catalog, ADLS Gen2.
- Microsoft TFS, Visual Studio, Devops exposure.
Preferred Qualifications:
- HealthCare domain knowledge.
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