Senior QA
3 weeks ago
We are seeking a highly skilled and experienced Senior QA cum Data Analyst to join our team. The ideal candidate will have expertise in ETL (Extract, Transform, Load) processes, data testing, and handling large volumes of data. This role requires a meticulous attention to detail, strong analytical skills, and the ability to ensure data accuracy and integrity throughout various stages of data processing.
Core Responsibilities:
- Partner with other teams & drive cross-functional efforts with the goal of ensuring high quality on end-to-end product functionality
- Develop and execute comprehensive test plans and test cases for ETL processes to ensure data accuracy, completeness, and integrity.
- Perform data validation and verification to ensure compliance with business requirements and data quality standards.
- Conduct data profiling and analysis to identify anomalies, inconsistencies, and discrepancies in large datasets.
- Implement and maintain automated testing frameworks and tools to streamline testing processes and improve efficiency.
- Stay updated on industry trends and best practices related to data testing, ETL processes, and quality assurance methodologies.
- Innovate and invest in tools and solutions that’ll help increase the efficiency of product development
- Develop, modify and execute software test strategies
- Find opportunities for continuous improvements to our software system and product
What It Takes To be Successful
- BS or MS in Computer Science or related technical field
- 8-12 years’ professional experience as a Software Test Engineer
- Solid OO design and implementation skills using Python/Java/C# or similar
- Ability to write excellent test plans, test cases and test scripts
- Familiarity with databases and capability to generate complex database queries
- Familiarity with UNIX systems
- Experience in Agile/Scrum methodologies
- A champion of quality, able to attest and vouch for the integrity of the product
- Proven experience with ETL processes, data testing, and data validation techniques.
- Strong understanding of SQL and proficiency in querying and analyzing large datasets.
- Experience with data visualization tools such as Tableau, Power BI, or similar tools is preferred.
- Familiarity with programming languages like Python, Java, or similar languages is a plus.
- Excellent analytical and problem-solving skills with a keen attention to detail.
- Strong communication and collaboration skills with the ability to work effectively in a team environment.
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