Azure data engineer

1 month 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 Dev Ops 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 Dev Ops Strong working knowledge of Azure services and best practices Familiarity with Kusto Query Language and Power BI 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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