Data Testing - Finance Pod

Description

Job id 6503

Why Ness

We know that people are our greatest asset. Our staff’s professionalism, innovation, teamwork, and dedication to excellence have helped us become one of the world’s leading technology companies. It is these qualities that are vital to our continued success. As an employee, you will be working on products and platforms for some of the most innovative software companies in the world.

You’ll gain knowledge working alongside other highly skilled professionals that will help accelerate your career progression.

You’ll also benefit from an array of advantages like access to trainings and certifications, bonuses, and aids, socializing activities and attractive compensation.

Requirements and responsibilities

What you’ll do

• Design, develop, and execute comprehensive data testing plans to validate financial data accuracy, integrity, and completeness within the Finance Pod.
• Perform detailed testing of data warehouse (DW) systems, ensuring conformance with defined business rules, data models, and transformation logic.
• Utilize strong SQL skills to query data, compare datasets, and identify discrepancies or anomalies across multiple financial data sources and systems.
• Deep understanding of data warehousing concepts including ETL processes, data integration, schema validation, and metadata to ensure robust testing coverage.
• Apply banking domain knowledge to assess the correctness and relevance of financial data in testing scenarios, with a focus on compliance and reporting requirements.
• Collaborate with data engineers, architects, finance teams, and auditors to define test requirements, document defects, and contribute to resolution strategies.
• Automate repetitive test cases where feasible to enhance efficiency and consistency in testing outcomes.
• Prepare clear test documentation, reports, and maintain audit trails for regulatory and compliance purposes.

What you’ll bring

• Strong proficiency in SQL for complex data querying, validation, and manipulation.
• Deep understanding of data warehousing concepts, data lifecycle, and ETL workflows.
• Prior experience in data testing or quality assurance roles within financial services or banking domain.
• Knowledge of banking data structures, finance processes, and regulatory environment is essential.
• Ability to analyze data flows, identify data quality issues, and work collaboratively in a proactive team environment.
• Good communication skills to effectively document findings and interact with cross-functional teams.
• Detail-oriented and methodical approach to ensure high data accuracy and audit-readiness.

Not checking every single requirement?

If this role sounds good to you, even if you don’t meet every single bullet point in the job description, we encourage you to apply anyway. For most of the candidates that applied, we found a role that was a very good fit with their skills.

Let’s meet and you may just be the right candidate for one of our roles.

We are willing to build a work culture that is based on diversification, inclusion, and authenticity.