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Azure Databricks
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Experience Range:
Must-Have
• 7+ years of experience in data engineering with strong expertise in Azure Data Lake, Databricks, and ADF.
• Hands-on expertise in SQL and PySpark or Scala for building complex ETL/ELT solutions.
• Proven track record with batch & real-time ingestion, Kafka, and large-scale big data processing.
• Experience with relational and NoSQL engines: SQL Server, Oracle, Azure SQL, and Cosmos DB.
• Experience with Informatica PowerCenter, Informatica IDMC, or equivalent cloud data integration tools.
Good-to-Have
• Insurance domain knowledge (Policy, Claims, Billing, Underwriting, Actuarial, Regulatory data).
• Experience with Azure DevOps (AzDO) and GitHub-based CI/CD pipelines.
• Practical usage of Copilot for data engineering and development productivity.
• Exposure to Generative AI / GenAI use cases in data platforms and analytics.
• Familiarity with Maestro or similar enterprise schedulers, and data tools like Precisely or equivalent.
Job ID: 153634167
Skills:
Azure Data Factory, Azure Databricks, Azure Data Engineer
Skills:
snowflake , Git, Pyspark, Azure Databricks, Python, Sql, Etl, Azure DevOps, ELT
Skills:
Workflows, Apis, Cloudformation, Pyspark, Sql, Devops, MLops, Terraform, Spark, Databricks, Azure, Python, AWS, Databricks Lakehouse, dbt
Skills:
react.js , Pyspark, Azure Databricks, Html5, Css3, Azure cloud services, Python, Git, Typescript, Javascript, Rest Apis
Skills:
Pyspark, Sql, Azure Synapse Analytics, Azure Data Factory, Apache Spark, Azure Databricks, Spark SQL, Python, Terraform, ARM Templates, Real-Time Data Processing, Azure Data Lake Storage, Data Mesh, Delta Lake, Infrastructure as Code, Event-Driven Architectures, Structured Streaming, Lakehouse Architecture, Medallion Architecture
