Manager - Data Quality Engineering
A client of People Impact
Job Title : Manager - Data Quality Engineering, Product Engineering (M2)Job Description : 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 least 2 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.- Bachelors degree in computer science, Engineering, or equivalent practical experience. (ref:hirist.tech)
Vacancy posted 18 days ago
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