
Lead Data Engineer
19 hours ago
Job Summary:
We are seeking a seasoned data engineering expert with expertise in Databricks, PySpark, and SQL to spearhead our data engineering initiatives.
- Design and develop end-to-end data pipelines using Azure Data Factory for seamless data ingestion and transformation.
- Collaborate closely with Azure stack modules like Data Lakes and SQL DW to craft robust data solutions.
- Write efficient SQL, Python, and PySpark code for data processing and transformation.
- Translate complex business requirements into technical designs.
- Develop comprehensive mapping documents and transformation rules as per project scope.
- Communicate project status effectively to stakeholders, ensuring smooth project execution.
- Minimum 7 years of experience in data ingestion, processing, and analytical pipelines for big data and relational databases.
- Hands-on experience with Azure services: ADLS, Azure Databricks, Data Factory, Synapse, Azure SQL DB.
- Proficiency in SQL, Python, and PySpark for data transformation and processing.
- Familiarity with DevOps and CI/CD deployments.
- Excellent communication skills and attention to detail in high-pressure situations.
- Prior experience in the insurance or financial industry is highly desirable.
A dynamic work environment that fosters growth, collaboration, and innovation.
About Us:A forward-thinking organization dedicated to delivering cutting-edge data solutions.
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