Proficiency in NiFi with experience in creating and optimizing processors and process groups
Strong knowledge of Azure Datalake with experience in handling Delta Lake file formats (Parquet)
Expertise in Python and PySpark for data manipulation and analysis
Advanced SQL skills with the ability to work across multiple databases including Oracle, SQL Server, and proprietary systems
Experience with Databricks for data engineering tasks, including building and managing data pipelines
Experience in building pipeline strategies for data loading and ETL processes, including setting up and managing workflows.
What the job involves
Develop and enhance data processing systems to ensure seamless data integration across multiple databases including Oracle, SQL Server, and proprietary databases
Implement and optimize NiFi processors and process groups to streamline data workflows and enhance performance
Design, develop, and maintain ETL pipelines using Azure Datalake with Delta Lake file format (Parquet) to support data analytics and reporting
Perform SQL queries to extract, transform, and load data from various sources into target systems ensuring data integrity and consistency
Collaborate with cross-functional teams to identify and resolve system issues, ensuring data quality and reliability.
Application process
Submit application online
Requests for accommodation if needed to be emailed
EY exists to build a better working world, helping create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
Company benefits
Equal opportunities to all applicants and employees
Assistance with application or accommodation for those with disabilities.