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    Azure Data Engineer - Bellevue, United States - Tata Consultancy Services

    Tata Consultancy Services background
    Technology / Internet
    Description

    Experience Required

    5

    Roles & Responsibilities

    Data Engineering

    Data pipeline development using COSMOS / SCOPE, On demand data pull using COSMOS / SCOPE

    Data automation / processing using lens

    Data pipeline automation using ADF

    Data Engineering support

    Data Preparation, Exploration and Sustenance

    1. Investigate and understand business questions

    2. Explore data, identify the right sources; performing data extraction and

    transformation

    3. Perform data validation

    Experimentation: Control Tower and Scorecards:

    Knowledge of how Control Tower works

    How to update metrics

    Update scorecard layouts

    Run Scorecard Validation

    Run exploratory analysis

    Skills needed for this:

    Python (only for investigations)

    XML

    Git

    PySpark (only for investigations)

    4. Implement and provide support for data pipelines and reports

    5. Implement monitoring on all critical data pipelines

    6. Support migration to Azure Lens Orchestrator from Xflow

    Self Service/Datawarehouse

    Support ADF /lens pipelines to ingress into Synapse on a regularly basis (performance,

    reprocessing and monitoring)

    2. Support visualization/reporting on top of data via Cube, PowerBI premium (based

    on cost/size needs), excel or Spark

    Rhythm of Business

    1. Maintenance and Sustenance of existing Data Pipelines

    2. Workflow Monitoring and Fixes

    3. Maintained and monitored existing data


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