Secondary skills: Data Testing with traditional or Modern databases using SQL and Python

Mode of work: Work from Office

Experience: 4-6 years

About the job:

Are you a detail-oriented professional with a passion for ensuring data accuracy and quality? We are seeking a Senior Data Tester to join our team. In this role, you will be responsible for data testing activities, providing test strategies, and identifying risks and dependencies. You will evaluate data sources, validate data integrity, and execute data tests to identify issues and discrepancies. Collaborate with data analysts, developers, and other stakeholders to maintain and enhance data quality throughout the data lifecycle.

Know your team:

At ValueMomentum’s Engineering Center, we are a team of passionate engineers who thrive on tackling complex business challenges with innovative solutions while transforming the P&C insurance value chain. We achieve this through strong engineering foundation and continuously refining our processes, methodologies, tools, agile delivery teams, and core engineering archetypes. Our core expertise lies in six key areas: Cloud Engineering, Application Engineering, Data Engineering, Core Engineering, Quality Engineering, and Domain expertise.

Join a team that invests in your growth. Our Infinity Program empowers you to build your career with role-specific skill development leveraging immersive learning platforms. You'll have the opportunity to showcase your talents by contributing to impactful projects.

Job Summary:

We are looking for a Senior Data Tester who will be responsible for data testing activities in the database. Able to provide Test strategy and identify the risks, dependencies. The Data Tester is responsible for ensuring the accuracy, quality, and reliability of data used within an organization. This role involves the evaluation of data sources, validation of data integrity, and the execution of data tests to identify issues and discrepancies. The Data Tester works closely with data analysts, developers, and other stakeholders to maintain and enhance data quality throughout the data lifecycle.

Responsibilities:

• Test current products and identifying deficiencies in Datawarehouse or Data Hub.
• Suggest solutions to identified product problems.
• Investigate product quality to make improvements to achieve better customer satisfaction.
• Collaborate with the Development team to ensure consistent project execution.
• Identify quality assurance process bottleneck and suggest actions for improvement.
• Oversee continuous improvement projects.
• Collect quality data.
• Monitor daily and weekly run regression tests and help with maintenance, operations, and release activities.
• Be an active participant in product requirements, functional specification, and design specification reviews.
• Possess good communication skills to interact with both local and remote teams effectively.

Requirements:

• 4 - 6 years of experience in QA engineering position.
• Strong ETL Data testing experience using SQL, Python in Data Warehouse or Data Lake or Data Hub.
• Should be able to develop Test strategy and Test plan if required.
• Experience with building/maintaining test framework, tools.
• Familiarity with various Document and data formats – JSON, XML and familiarity with search technologies.
• Enterprise-level databases experience (Oracle, DB2, SQL Server, MySQL or any NoSQL database) is a plus.
• Excellent verbal and written communication skills.
• Strong analytical and problem-solving skills.
• Need to be excellent team player.

Good To Have:

• DWH Concepts, SQL, Python, Data Testing in modern Database.
• Good to have any programming language knowledge.