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.