Azure Data Engineer

2 months ago

Chennai, India Tata Consultancy Services Full time

Job Role: Azure Data Engineer

Job Location: Chennai

Job Mode: Work From Office

Experience Range: Min 12 - 16 years

Desired Competencies (Technical/Behavioral Competency):

Skills: Azure Data Factory, Azure Data Lake, Pyspark, Python, Databricks & Azure DevOps

  • Deep understanding of Azure Data Bricks workspaces, Event Hubs, Cosmos DB, Azure Data explorer, Data Factory, Azure Functions & APIM
  • Extensive experience in Python and Scala development
  • Experience in writing/working with Databricks Notebooks
  • Previous development experience utilizing Azure DevOps
  • Strong working knowledge of Azure services and best practices
  • Familiarity with Kusto Query Language and PowerBI
  • Foundational SQL experience/usage
  • Azure solution design and architecture
  • Adhere to response and resolution SLAs and escalation processes in order to ensure fast resolution of customer issues that exceed expectations.

Submit well-documented bugs and feature requests arising from customer submitted requests and work with Engineering towards a resolution

Responsibility of / Expectations from the Role:

Design and develop applications that can be hosted on the Azure cloud

Design and develop frameworks and core functionality

Identify gaps and come up with working solutions.

Application architecture and solution design in Azure

  • Analyze production workloads and develop strategies
  • Utilize technical acumen and in-depth understanding of business processes and practices to influence the creation, modification, and execution of operational and strategic plans
  • Create, maintain, and administer database platforms and applications for company-wide use
  • Maintain data integrity and database performance, stability, and scalability. Make recommendations to optimize database and application performance and efficiency
  • Diagnose and resolve database, network, and security issues.
  • Assist with architecture design to receive, store, and analyze large and complex data sets from large amounts of structured and unstructured data
  • Work with other team members in an agile scrum environment
  • Define and document best practices and support procedures and help on call

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