QA Data Test Lead

Key Skills: Python Automation
Job Location: Hyderabad/Pune/Coimbatore/Bengaluru
Mode of Work: Work From Office

Experience: 3 to 10 Years

About the job:
As a Databricks QA Engineer, you will be responsible for ensuring the quality and reliability of data in our software solutions for the P&C insurance industry. This role involves designing, executing, and automating data testing processes, identifying, and reporting data issues, and collaborating with cross-functional teams to drive data quality improvements. The ideal candidate will have a strong background in data testing methodologies, advanced SQL skills, and experience working with P&C insurance data.

Know your team:

At ValueMomentum Technology Solution Centers, we are a team of passionate software engineering teams who thrive on tackling complex business challenges with innovative solutions catering to the P&C insurance value chain. We achieve this through a strong software engineering foundation and by continuously refining our processes, methodologies, tools, agile delivery teams, and core engineering archetypes. Our core expertise lies in six key areas: Platforms, Infra/Cloud, Application, Data, Core, and Quality Assurance.

Join our 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 work with some of the best minds serving insurance customers in the US, UK and Canadian markets.

Responsibilities:

• The Candidate is expected to work on large datasets and will be involved in ETL testing, and thorough validation between the source and target
• Develop and execute test plans, test cases, and scripts to validate data accuracy, completeness, and integrity.
• Perform functional, integration, regression, and performance testing of data pipelines, ETL processes, and databases.
• Identify and investigate data anomalies, inconsistencies, and discrepancies; troubleshoot and resolve data quality issues.
• Collaborate with data engineers, data architects, business analysts, and other stakeholders to understand data requirements and ensure data quality standards are met.
• Document test plans, test results, and data quality issues; communicate findings and recommendations effectively to technical and non-technical stakeholders
• Recommend and implement improvements to data quality processes, tools, and methodologies.
• Automate data validation and testing processes where possible to improve efficiency and accuracy.

Requirements:

• 3 years of total technical experience in ETL testing
• Experience in developing ETL test plans, test cases and validating large-scale data migrations.
• Strong understanding of ETL processes, SQL, Spark, Hive and data migration
• Advanced proficiency in writing SQL queries, hands-on experience with Hive, Spark, Spark SQL and data frame API.
• Experience with Snowflake data warehousing.
• Experience with data quality automation tools and frameworks.
• Ability to document and present findings clearly and concisely.
• Excellent verbal and written communication skills.
• Strong analytical and problem-solving skills.
• Need to be an excellent team player.

Good To Have:
Candidates with these additional skills on their resumes have an added advantage when their profiles are being assessed. Some of them are as follows:

• Relevant certifications such as ISTQB, ICP or Agile certifications are desirable.