Azure Data Engineer

2 months ago

Pune, India Epergne Solutions Full time

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


Work Location : Bangalore / Hyderabad / Pune

Mode: Hybrid


Role: Azure Data Engineer 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:

  1. 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.
  1. 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.
  1. 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.
  1. Optimization and Performance Tuning:
  • Optimize data processes for performance, scalability, and cost-efficiency in an Azure cloud environment.
  1. Security and Compliance:
  • Implement data security best practices, including data encryption, role-based access control, and monitoring using Azure Security and Azure Monitor.
  1. Collaboration:
  • Work closely with data scientists, business analysts, and other stakeholders to gather requirements and ensure data pipelines meet business needs.
  1. 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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