Job Description

Key Responsibilities

  • Develop, deploy, and manage data pipelines
    using
    Azure Data Factory (ADF)
    to ingest, transform, and store large volumes of structured and unstructured data.
  • Write and optimize complex
    T-SQL
    queries, stored procedures, and views to support data analysis, reporting, and downstream applications.
  • Collaborate with Data Scientists to
    operationalize ML models
    within
    Azure ML Studio
    , including data preparation, feature engineering, and model deployment.
  • Monitor and troubleshoot data pipeline performance, ensuring reliability and data quality.
  • Design and implement ETL/ELT solutions following best practices for cloud architecture, security, and data governance.
  • Work with stakeholders to understand business requirements and translate them into scalable data solutions.
  • Participate in code reviews, performance tuning, and automation of repetitive data processing tasks.

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