VEGA Intellisoft Private Limited | Jobs | Azure Senior Data Engineer | BigDataKB.com | 31-03-22

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    Job Location: Bangalore/Bengaluru

    • As part of an agile scrum team, duties will include attending daily scrum stand-ups, sprint reviews, sprint retrospectives and planning meetings
    • Gather, engineer and prepare data for consumers to enable smarter decision making
    • Use a broad set of data curation and analytical tools and techniques to enable development of quantitative and qualitative business insights
    • Working with partners as necessary, they integrate systems and data quickly and effectively, regardless of technical challenges or business environments
    • Build systems and solutions to extract data from multiple sources including but not limited to sales, inventory, product, and customer databases to create integrated views that can be used to drive decision making
    • Research, recommend and implement tools as needed with the goal of increasing automation whilst working closely with the ML Engineers, Data Scientists and other scrum team members as well as business users and Senior Management, as required
    • Understanding and developing the requirements of solutions aimed at modernising and transforming the business
    • Helping the Product Owner(s) to define the product backlog by consulting members of the stakeholder and scrum teams
    • Understanding of AI and ML concepts
      The Data Engineer Sr will contribute into development of coding standards
    • The Data Engineer Sr will be proficient in business intelligence, ETL, Data Governance and statistical programming
    • Experienced with programming languages such as Python, with Apache Spark, designing and building data engineering workloads to leverage cloud computing, and application of DevOps tooling and frameworks for the building of data pipelines
    • The Data Engineer Sr will have an ability to lead small technical teams, manage performance of individual team members and identify risks and issues that need to be reported to the appropriate lead, be it
    • Chapter, Project Manager or Delivery Lead
    • Must have technical skills
    • Microsoft Azure, Databricks, Synapse
    • Data Pipelines (structured and semi-structured data)
    • Transactional/operational data sources
    • Data transformation
    • Big data principles and data quality (velocity, veracity, variety)

     

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