ETL Testing

Position Details

EY’s GDS Assurance Digital team’s mission is to develop, implement and integrate technology solutions that better serve our audit clients and engagement teams. As a member of EY’s core Assurance practice, you’ll develop a deep Audit related technical knowledge and outstanding database, data analytics and programming skills.

Ever-increasing regulations require audit departments to gather organize and analyze 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.

EY's GDS Assurance Digital team members work side-by-side with the firm's partners, clients and audit technical subject matter experts to develop and incorporate technology solutions that enhance value-add, improve efficiencies and enable our clients with disruptive and market leading tools supporting Assurance.

GDS Assurance Digital provides solution architecture, application development, testing and maintenance support to the global Assurance service line both on a pro-active basis and in response to specific requests.

EY is currently seeking for Passionate, self- driven, energetic, technology enthusiast to join the GDS Assurance Digital practice in Bangalore, India, to work on various Microsoft technology or SPA application based projects for customers across the globe. On Job training is part of this hiring.

Requirements (including experience, skills and additional qualifications)

A pursing bachelor’s degree (BE/BTech/MCA) in Computer Science, Engineering, Information Systems Management etc.

As Digital team primary work on building complex and globally scalable solution and on niche technologies including Cloud stack, Big data and Data Science stream. We need candidate with high aptitude and very strong analytical skills who can solve complex problem in much simplified manner.

As team work on R&D initiatives and proof of concepts, we need candidate who can quickly learn new technologies and can contribute in these initiatives. 

Skills/ trait’s requirements:

• 2 to 4 years of experience in ETL testing and data validation
• Work with data engineering teams to support testing of ETL workflows and data pipelines
• Good understanding of QA testing processes and methodologies
• Hands-on experience with at least one ETL tool (Informatica, DataStage, Talend, SSIS or similar)
• Strong SQL skills for validating data transformations and reconciliation between source and target systems

• Familiarity with cloud-based data platforms (e.g., Azure Data Factory, AWS Glue, GCP BigQuery) is preferred
• Basic experience with Unix/Linux scripting for file handling and automation tasks
• Understanding of flat files, CSV, XML or JSON data structures
• Knowledge of Python for simple data validation scripts is an added advantage
• Strong analytical and problem-solving skills in resolving data issues
• Good communication skills and ability to work in a collaborative environment
• Experience working in Agile projects is preferred

Additional skills requirements: 

• Good verbal and communication skills.
• Must be a team player

EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability status.