Data Bricks-Software Engineer

2 - 6 years

4 - 8 Lacs

Posted:1 hour ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

DataBricks/Data Stage-
  • Minimum 6 years experience within Data Engineering with minimum 2 years in a similar role
  • Experience with Databrick, DBT, Python and Pyspark is preferrable but not mandatory
  • Comfortable working within conceptual, logical and physical data model following Data Vault 2.0 and Kimball data modelling methodologies
  • Strong experience working in Data Warehousing and Data Analytics projects including data acquisition, data transformation, and data migration projects
  • Strong experience in SQL and Redshift
  • Experience in developing and optimising data pipelines using control-m and sql
  • Experience in data migration, building, enhancing and maintaining cloud data warehousing
  • Experience in performance tuning and optimising databases and SQL queries for analysis and reporting
  • Ability to rapidly acquire an understanding of complex business problems/requirements to develop solutions and designs, regardless of existing areas of expertise or specialisation
  • Strong skills and experience in cloud environments, especially AWS
  • Experience supporting high availability production systems is desirable

  • What you'll do
  • Implement and maintain Datawarehouse platform and data pipelines suitable for Data Warehousing and reporting use cases
  • Build data assets that are aligned to IET data strategy and architectural roadmaps
  • Promote and champion Data Platform and Engineering ways of working via continuous build, continuous integration and continuous delivery
  • Support detailed solution design, data modelling, estimation and specification process
  • Promote test driven development and automated unit test frameworks within the teams
  • Promote and champion DevOps (CI/CD) practices using Bitbucket and Jenkins
  • Coordination of deployment and release activities for the team
  • Develop data engineering standards, implementation patterns and how to guides
  • Challenge the development team on their delivery of quality, unit test coverage and assistance in the creation of development artefacts
  • Contribute to risk analysis and utilise that information to plan development activities
  • Identify technical and process improvements that will benefit the business
  • Optimising code and ensuring we are getting the best out of the Data Platform
  • Foster a safe, innovative and results driven culture
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