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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