Quality Assurance Test Lead

SourcingXPress

Bengaluru

On-site

INR 2,500,000 - 4,000,000

Full time

16 hours ago
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Job summary

People Impact seeks a seasoned data quality engineer to lead test strategy across complex data pipelines. You will collaborate with cross-functional teams to ensure scalable, testable data solutions and guide automated testing frameworks for batch and streaming data.

Responsibilities include enforcing CI/CD in data workflows, driving data quality initiatives, and mentoring engineers. A CS degree and strong SQL/Python skills are required, with AWS/Deequ experience a plus.

Qualifications

  • 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), AWS, Deequ/Great Expectations.

Responsibilities

  • 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.

Skills

SQL
Python
Data quality engineering
Software testing
Data engineering
Team leadership
Problem solving

Education

B.S. in Computer Science

Tools

Snowflake
Databricks
Spark
Airflow

Job description

  • 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

Company: People Impact

LinkedIn: Visit LinkedIn

Business Type: Enterprise

Company Type: Product

Business Model: B2B

Funding Stage: Private Equity

Industry: Software Development

Job Description
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
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