1 month ago
Pune, India +2 moreMid Level / Senior
Responsibilities
- Design and develop Azure analytics solutions aligned with business and data requirements.
- Build and maintain data ingestion pipelines using Azure Data Factory and supported connectors.
- Manage data storage and analytics layers using Azure Data Lake Storage Gen2 and Azure Synapse Analytics.
- Develop and optimize data transformations using SQL, PySpark, and Spark-based processing.
- Implement data modeling and layering standards for curated and consumption-ready datasets.
- Support Power BI dataset development, including measures, relationships, refresh strategies, and basic performance tuning.
- Perform data validation and reconciliation to ensure accuracy, completeness, and consistency.
- Collaborate with architects and technical leads on solution design and improvements.
- Troubleshoot data pipeline failures, data issues, and performance bottlenecks.
- Participate in code reviews, documentation, knowledge sharing, deployments, and ongoing production support.
- Provide guidance to junior analysts and contribute to coding standards and solution quality.
Requirements
- At least 3 years of professional experience is required; the posting additionally specifies 4–5 years in data engineering, BI, or analytics roles.
- Fifteen years of full-time education or equivalent is required.
- Hands-on experience with Microsoft Azure Analytics services, including Azure Data Factory, Azure Synapse Analytics SQL Pools, and Azure Data Lake Storage Gen2.
- Working knowledge of PySpark or Spark SQL and strong proficiency in SQL.
- Understanding of data warehousing concepts, including fact and dimension tables and slowly changing dimensions.
- Experience with Power BI datasets and semantic models.
- Familiarity with full-load and incremental-load data ingestion patterns.
- Ability to debug and resolve data pipeline and transformation issues.
- Basic understanding of Git-based version control and deployment practices.
Benefits
- The position is based in the Bengaluru, Chennai, or Hyderabad office.
- The role involves Agile, project-based delivery and close collaboration across teams.
- The position includes ongoing operational support during testing and production issues.
Tech Stack
Categories
Data Engineering
About Accenture
Accenture is a global professional services firm providing management consulting, systems integration and technology, cybersecurity, and business process outsourcing for enterprises and governments. It operates a services-driven model delivering projects and managed services, often with major cloud and software partners, across industries worldwide. Headquartered in Dublin and publicly traded on the NYSE (ACN), it originated as Andersen Consulting and adopted the Accenture name in 2001.