Company: People Impact

LinkedIn: Visit LinkedIn

Business Type: Startup

Company Type: Product

Business Model: B2B

Funding Stage: Pre-seed

Industry: Information Technology

Salary Range: ₹ 23-33 Lacs PA

Manager– Data Quality Engineering, Product Engineering (M3)

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 on 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.
- Robust 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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