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Software Engineer
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Locations:
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: 151743761
Skills:
react.js , Sqlalchemy, S3, PostgreSQL, Kafka, Django Rest Framework, Lambda, Typescript, Terraform, Docker, Python, Api Gateway, RDS, Aws Services, Redis, New Relic, Django, Cloudwatch, ECS, FastAPI, Next.js, OpenTelemetry, ElastiCache, Alembic, EKS, Amazon MSK, Fargate, CI CD pipelines, Redpanda
Skills:
Java, Kafka, Spring Boot, Redis, New Relic, No Sql, Gemfire, MySQL, Splunk, AWS, microservices-based architecture, cloud-native applications, Elastic cache, Aurora SQL, PCF Pivotal Cloud Foundry
Skills:
Restful Apis, Sql, Testing Frameworks, React, Javascript, Next.js, CI CD tools, code quality automation
Skills:
Agile, JIRA, Sql, Team Building, Analytical, Openlink, Findur
Skills:
Java, Sql, Application Support, JIRA
