EY EY - GDS Consulting & Azure DE-Staff 

India, Telangana, Hyderabad 

757000714

As part of our EY-DnA team, you will help clients in developing and implementing data analyses, data collection systems and other strategies that optimize statistical efficiency and quality. Working with latest tools available in the market you will help clients by acquiring data from primary or secondary data sources and maintain databases/data systems and help to identify, analyse, and interpret trends or patterns in complex data sets.

Using your expertise in data analytics you will help our clients to view data in context and make smarter business decisions to achieve improved products and services.

Minimum experience: 2-3 Years

• Designing and implementing data ingestion pipelines from multiple sources (Structured/un-structured/Semi-Structured) using API/Qlik/Az copy/Azure connector for CDC & Batch process
• Experience in Building Reusable Data ingestion and Data transformation frameworks using Python/Pyspark.
• Integrating the end to end data pipeline - to take data from source systems to target data repositories ensuring the quality and consistency of data is maintained at all times
• Good Understanding of Modern Data Warehouse/lake house Architecture, Data warehousing concepts
• Experience with data warehousing, and building high-volume ETL/ELT pipelines.
• Experience with Azure Data Factory, Azure Databricks
• Working with event based / streaming technologies to ingest and process data
• Expertise in designing and deploying data applications on Azure
• Experience in Migration of data from On-premise to cloud (Azure)
• Good understanding of Data Validation and Reconciliation process
• Good Understanding of Snowflake
• Good Understanding of WAM Domain.
• Working knowledge of agile development, including DevOps and DataOps concepts.
• Experience with version control systems like Github and deployment & CI tools.
• Databricks certifications is a plus
• Prior experience in Data Governance & quality framework based tools & technique(priority on Collibra)
• ELT/ETL implementation experience with DBX in python/pyspark & sql queries

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.