Lead Quality Assurance Engineer

We are searching for a skilled Data Engineering QA Engineer to take charge of testing, validating, and ensuring the quality of our data pipelines, data transformations, and analytics platforms. Your responsibilities will include creating test strategies, designing test cases, and collaborating closely with Data Engineers to guarantee the accuracy, integrity, and performance of our data solutions. You will be responsible for testing and validating data pipelines (ETL/ELT processes) to secure accurate data movement, transformation, and integration across various platforms. Defining and implementing data quality checks, performing exploratory data testing, and monitoring data for accuracy and consistency will also be part of your role. Additionally, you will design and implement automated testing strategies for data validation using frameworks/tools like PyTest, SQL queries, or custom scripts. Collaborating with Data Engineers, Data Analysts, and Product Managers to understand requirements and deliver aligned test plans and strategies is crucial. Furthermore, you will analyze and test the performance and scalability of large-scale data solutions to ensure they meet business requirements, as well as identify, track, and resolve data quality issues and bugs in a timely manner. Ensuring compliance with data governance, privacy, and security standards, generating testing reports, and providing insights into data quality and system performance are also key responsibilities. For this role, you should have at least 5 years of experience as a QA Engineer, Data Engineer, or in a similar data-focused role. Proficiency in writing complex SQL queries, familiarity with ETL/ELT tools and processes, experience with automation frameworks and cloud platforms, strong scripting and programming skills, and an understanding of data warehousing concepts are required. Knowledge of version control tools, experience working in Agile/Scrum teams, and meticulous attention to detail in data validation are also essential. It would be advantageous if you have exposure to big data tools, familiarity with data governance and compliance regulations, experience with BI tools, and relevant certifications. A Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field is necessary for this position.,