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Azure Data Engineer

Azure Data Engineer

Epergne Solutionspune, India
1 day ago
Job description

Epergne Solutions is looking for Azure Data Engineers across PAN India Locations

Work Location : Bangalore / Hyderabad / Pune

Mode : Hybrid

Role : Azure Data Enginee r to design, build, and maintain data infrastructure in Microsoft Azure, ensuring data flows smoothly from various sources to destinations for analytics and reporting purposes.

Key Responsibilities :

  • Design and Develop Data Pipelines :
  • Build and optimize scalable data pipelines using Azure Data Factory (ADF) and Azure Synapse Analytics.
  • Develop, maintain, and improve data integration, processing, and storage pipelines for ETL / ELT processes.
  • Ensure data consistency, accuracy, and reliability across the pipelines.
  • Data Modeling and Architecture :
  • Design and implement data models (Star, Snowflake, and OLAP) based on business requirements.
  • Collaborate with data architects to develop and refine the data warehouse / lake architecture using Azure Synapse Analytics or Azure Data Lake Storage.
  • Data Transformation and Storage :
  • Implement data transformation using Azure Databricks, SQL, and other tools.
  • Manage and monitor data storage using Azure Data Lake and SQL Databases.
  • Optimization and Performance Tuning :
  • Optimize data processes for performance, scalability, and cost-efficiency in an Azure cloud environment.
  • Security and Compliance :
  • Implement data security best practices, including data encryption, role-based access control, and monitoring using Azure Security and Azure Monitor.
  • Collaboration :
  • Work closely with data scientists, business analysts, and other stakeholders to gather requirements and ensure data pipelines meet business needs.
  • Monitoring and Maintenance :
  • Set up automated monitoring, alerts, and logging for data pipelines.
  • Troubleshoot and resolve data pipeline issues and ensure minimal downtime.

Technical Skills :

  • ETL / ELT design and development experience using Azure Data Factory or similar tools.
  • Expertise in SQL , PySpark , and Python for data manipulation and transformation.
  • Proficient in Azure DevOps for CI / CD pipeline management and version control.
  • Strong understanding of data warehousing and data lake architectures.
  • Hands-on experience with Azure Databricks for big data processing and machine learning integration.
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    Azure Data Engineer • pune, India

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