Posted:3 weeks ago|
Platform:
On-site
Full Time
· Design and develop ETL pipelines using ADF for data ingestion and transformation.
· Collaborate with Azure stack modules like Data Lakes and SQL DW to build robust data solutions.
· Write SQL, Python, and PySpark code for efficient data processing and transformation.
· Understand and translate business requirements into technical designs.
· Develop mapping documents and transformation rules as per project scope.
· Communicate project status with stakeholders, ensuring smooth project execution.
· 7-10 years of experience in data ingestion, data 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.
· Experience in SQL, Python, and PySpark for data transformation and processing.
· Familiarity with DevOps and CI/CD deployments.
· Strong communication skills and attention to detail in high-pressure situations.
· Experience in the insurance or financial industry is preferred.
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