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Azure Data Engineer | ADF | Power BI | Python | SQL

  • Source: Naukri
  • Religent Systems
  • $10,485.48 to $18,873.86 /yr
  • On-site
  • Bengaluru
  • Full-Time
  • Mid level

Job Description

Description :

  • Gather and analyze business requirements, translating them into structured and actionable data standards in collaboration with cross-functional teams.
  • Design, develop, and optimize ETL processes to extract, transform, and load data from multiple sources including SQL Server, JSON, and PostgreSQL systems.
  • Build and maintain scalable data pipelines and workflows using Azure Data Factory (ADF) to support data integration and analytics.
  • Perform ETL testing, data validation, and quality assurance using SQL and automated Python scripts to ensure data integrity and reliability.
  • Develop automated workflows and orchestrations using Azure Data Factory and Apache Airflow for scheduling and monitoring data pipelines.
  • Leverage Python scripts to integrate with external APIs, fetch data, and store it into databases for downstream analytics.
  • Implement version control and CI/CD best practices using GitHub for Python scripts and ETL processes.
  • Develop and deploy Power BI semantic models, dashboards, and paginated reports to provide meaningful business insights.
  • Publish reports to Power BI Service using deployment pipelines and configure on-premise gateways for automated data refresh.
  • Perform data modeling, DAX development, and report optimization for performance and scalability.

Skills

  • microsoft-azure
  • power-bi
  • Python
  • JSON
  • PostgreSQL
  • azure-data-factory
  • Airflow
  • apache-airflow
  • Github
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