Ever-increasing regulations require tax departments to gather, organize and analyse more data than ever before. Often the data necessary to satisfy these ever-increasing and complex regulations must be collected from a variety of systems and departments throughout an organization. Effectively and efficiently handling the variety and volume of data is often extremely challenging and time consuming for a company.
Key Responsibilities
- Must have experience Azure Databricks.
- Must have strong knowledge of Python and PySpark programing.
- Must have strong Azure SQL Database and Azure SQL Datawarehouse concepts.
- Develops, maintains, and optimizes all data layer components for new and existing systems, including databases, stored procedures, ETL packages, and SQL queries
- Experience on Azure data platform offerings
- Ability to effectively communicate with other team members and stakeholders
Qualification & Experience Required
- Candidates should have between 1.5 and 3 years of experience in Azure Data Platform (Azure Databricks) with strong knowledge of Python and PySpark is required
- Strong verbal and written communications skills
- Ability to work as an individual contributor.
- Experience on Azure Data Factory or SSIS or any other ETL tools.
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.