Local to Cary NC only!
Design and build batch and streaming data pipelines using Azure, Databricks, and Kafka.
Develop ETL/ELT solutions using Spark, SQL and Python/Pyspark, or Scala
Implement and support Data Lake / Lakehouse architectures
Integrate data from legacy and modern platforms. Preferred postgres DB migration to Azure Cloud.
Expertise in handling Data migration using API's.
Apply data quality checks and support data governance basics (metadata, lineage, access controls)
Optimize Spark jobs for performance, reliability, and cost
Collaborate with cross-functional teams, Product owners, Admin teams, BSAs, Scrum & Project managers
Required Skills & Experience:
8+ years of experience in data engineering in azure using Azure Databricks.
Strong experience with Azure Data Lake, Databricks, ADF, Postgres.
Strong Data Engineering experience in Big Data (Cloudera)
Hands-on expertise in SQL, Python and PySpark or Scala
Proven experience with batch & real-time ingestion
Experience with Kafka and big data processing
Added good to have experience with:
Informatica PowerCenter
Informatica IDMC or equivalent cloud data integration tools
SQL Server, Oracle, Azure SQL
Cosmos DB
Unix/Linux
Maestro (or similar enterprise schedulers)
Data tools such as Precisely or equivalent
Added Advantage
Insurance domain knowledge (Policy, Claims, Billing, Underwriting, Actuarial, Regulatory data)
Experience with Azure DevOps (AzDO) and GitHub-based CI/CD
Practical usage of Copilot for data engineering and development productivity
Exposure to Generative AI / GenAI use cases in data platforms and analytics
Role Descriptions: Microsoft Azure (ADB/ADF)
Essential Skills: Microsoft Azure (ADB/ADF)
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