QA Manager (Data Quality Engineer ))

peopleimpact

Required skills

Role : Manager (Data Quality Engineer )

Responsibilities include:

Lead a team of data quality engineers supporting validation efforts across multiple data pipelines and domains.
Define and drive automation strategies to validate complex ETL logic and business rules in platforms like Snowflake and Databricks.
Collaborate with data engineers, analysts, and product managers to ensure the completeness, accuracy, and integrity of data across systems.
Oversee the design and improvement of test automation frameworks and validation infrastructure.
Manage hiring, performance, and career growth for team members while fostering a culture of engineering excellence.

Experience:

8+ years of hands-on experience in software testing or data engineering, with at least2 years in technical leadership or management roles.
Proven experience validating complex ETL pipelines, business logic, and data transformations across large-scale systems.
Proficiency in Python and SQL, including working with terabyte-scale datasets to identify data anomalies and logic issues.
Strong understanding of data quality automation frameworks, CI/CD pipelines, and tools like Airflow, Spark, Databricks, or Snowflake.
Experience driving quality best practices within Agile teams and participating in cross-functional planning and delivery.
Demonstrated ability to manage, mentor, and grow engineering talent, fostering a culture of accountability and collaboration.
Bachelor’s degree in computer science, Engineering, or equivalent practical experience.

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