Posted:2 weeks ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

  1. Excellent understanding on data architecture system (source, target, transformations, processing, etc.,) and migration b/w DB platforms
  2. Hands-On Experience of 6+ years on

    Azure data analytics and Datawarehouse

    in Azure.
  3. Must have hands-on experience in the Azure services like

    Azure Data Explorer, Azure Databricks

    ,

    Azure Data factory, Azure Synapse Analytics and Azure Fabric

    etc
  4. Must have strong hands-on experience with

    Python

  5. Strong hands-on

    experience in creating data pipeline monitors in the Azure environment

  6. Perform pre and post data validations checks to ensure completeness of data migrated​
  7. Experience building and optimizing data pipelines, architectures and data sets
  8. Experience with the deployment datasets within the customers Cloud or On Premise environments
  9. Strong analytic skills related to working with unstructured datasets
  10. Experience supporting and working with cross-functional teams in a dynamic environment
  11. Assist with validating prototyped deployment options across various environments - Dev, QA, Test
  12. Assist in security hardening and implement role-based security as needed for Customer requirements
  13. Write and maintain documentation (e.g. run books, test plans, test results, etc.) for applications
  14. Configure and tune the platform in each environment based on best practices
  15. Provide general guidance, best practices, troubleshooting assistance as related to the Data Platform
  16. Strong analytical, debugging and problem-solving skills
  17. Quick learner, self-motivated and has the ability to work independently
  18. Strong verbal, written communication skills and a collaborative problem solving style
  19. Systems integration, including design and development of APIs, Adapters, and Connectors
  20. Healthcare domain experience is preferred
  21. Tools & Technology Experience preferred:
  22. Object-oriented /object function scripting languages: Python
  23. Data migration from on premise systems - RDBMS to Cloud Datawarehouse​
  24. Relational SQL and NoSQL databases, including Snowflake and PostgreSQL
  25. Data pipeline using Azure stack
  26. Azure cloud services: Datafactory, Databricks, SQL Datawarehouse

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