This role is for one of Weekday’s clients Min Experience: 7+ years Location: Bengaluru, Karnataka, India, Bengaluru JobType: full-time Responsibilities include: - Lead the design and implementation of test strategies for complex data pipelines and business logic. - Collaborate with cross-functional teams to ensure scalable, testable data solutions. - Architect and evolve automated testing frameworks across batch and streaming data. - Define and enforce best practices for testing, monitoring, and CI/CD in data workflows. - Own and drive strategic data quality initiatives, including stakeholder alignment and execution. - Mentor engineers, conduct code/test reviews, and support team development. - Manage direct reports as needed, including coaching, planning, and performance support. - Introduce and evaluate tools and frameworks to enhance test coverage and automation Required Education, Experience/Skills/Training: - Experience in data quality engineering, software testing, or data engineering. - Strong proficiency in SQL and Python with the ability to validate large datasets. - Experience with Snowflake, Databricks, Spark, Airflow, or similar tools. - Proven ability to build and scale automated data testing frameworks. - Experience leading strategic initiatives and/or managing engineering team members. - Strong problem-solving and debugging skills; able to anticipate and prevent data issues. - B.S. in Computer Science (or equivalent degree or work experience) Nice to have: - Experience with BDD frameworks (e.g., Behave) - Experience working in AWS or other cloud environments - Familiarity with open-source data quality tools like Deequ, Great Expectations, or similar custom frameworks Must-have skills Python, Airflow, data testing Good-to-have skills Databricks, SQL, Snowflake

QA Data Engineer - P4

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