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    Data Engineer Tech Lead - Dallas, United States - Infovision

    Infovision
    Infovision Dallas, United States

    2 weeks ago

    Default job background
    Description

    Qualifications:

    15+ years of experience (including 7+ years in Azure) in Data Engineering, ETL & Data Warehousing

    Should have excellent leadership, communication & client-facing skills

    Should have in depth knowledge on Azure Data Factory, Databricks, SSIS, Azure Functions, Logic Apps, Azure Event Hubs, PySpark, Spark Streaming, ADLS Gen2, Azure Blob, Azure Synapse, Azure SQL, SQL Server and good working knowledge on Tableau.

    Should have executed at least 2 Azure Cloud Data Warehousing projects

    Should have worked on Batch, API, Event & Streaming data processing,

    Should have working experience in building CI\CD pipelines using tools like Azure DevOps, GitHub, Jenkins, etc

    Should have working knowledge on handling various file formats like JSON, XML, CSV, Parquet, Delta, etc.

    Should have good knowledge of Agile methodology and able to workin a Scrum Master capacity.

    Should have worked in creating repeatable modules to support automation to drive dynamic data ingestion, processing, quality checks & error handling.

    Should have working knowledge on creating complex Databricks notebooks and integrate with Azure Ecosystem.

    Should have working knowledge of creating SQL queries to analyze and extract semi-structured data

    Should have in depth understanding on Data Warehousing, Data Analysis, Data Profiling, Data Quality & Data Mapping

    Should have cross global location experience and led a team of at least 10+ members in a global delivery model

    Should have experience in working with product managers, project managers, business users, applications development team members, DBA teams and Data Governance team on a daily basis to analyze requirements, design, development and deployment technical solutions

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