QA Data engineer

. Roles & Responsibilities:

- Collaborate with leadership to define current and next-generation analytics QA/testing solutions and strategies. - Lead validation efforts for projects involving data ingestion, modeling, and data warehouse design. - Research emerging QA technologies and evaluate their applicability. - Design QA, regression, and data quality strategies for enterprise databases, data warehouses, and multidimensional cubes. - Establish standards for quality assurance and regression testing. - Provide support, mentoring, and guidance to QA Data Engineers. - Document business requirements, test plans, and test cases for QA and regression testing. - Design and execute test scripts for QA and regression. - Validate transformation rules and metric implementations within data warehouses and BI solutions. - Write SQL queries to verify data integrity in data warehouses and OLTP databases. - Work closely with project teams to understand and prioritize defect resolutions. - Develop and support both manual and automated testing for data pipelines, data lakes, and data warehouse solutions, including long-term regression testing. - Ensure delivery of clean data sets to product owners, analytics teams, and end users. - Define alerting and monitoring systems for production data to maintain data robustness. - Identify, design, and implement internal process improvements such as automating manual tasks and optimizing data delivery. - Support analytical requests cross-functionally for internal and external stakeholders. - Collaborate with data and analytics experts to enhance data system functionalities. - Establish scalable, efficient, automated processes for large-scale data analytics, model development, validation, and implementation.

Years of Experience:

- Minimum 5 years’ experience as an analytics engineer, QA data engineer, data scientist, data engineer, or related field.

Educational Qualification & Certifications :

- Bachelor’s degree in Computer Science, Information Systems, or related field.

Skill Set Required:

Must have:

- Experience developing solutions on cloud computing platforms, preferably GCP. - 5+ years hands-on development experience with frameworks such as Python, Java, or Scala. - Experience with both automated and manual testing of data warehouse and BI solutions.

Nice to have:

- Advanced SQL knowledge and experience with relational databases and complex query authoring. - Experience with Scala, Python, PySpark, Java, REST API, Microservices, etc. - Experience in restaurant or retail operations preferred but not mandatory.