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QA Automation Lead (Data Engineering)- India

Juniper Square · Engineering
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RemoteFull-timePosted 6mo ago

About the role

QA Automation Lead for Data Engineering at Juniper Square responsible for data quality, reliability, and end-to-end data testing strategy across data pipelines and analytical platforms, collaborating with data engineering, product, and data science teams.

Responsibilities

  • Quality Roadmap & Planning: Partner with Data Engineering and Product leadership to define the data validation and automation strategy for data platform features and new architecture releases.
  • Backend & Pipeline Testing: Design and execute complex test cases targeting backend data systems, focusing on data integrity, distributed systems logic, data transformation consistency, and asynchronous batch or stream processing.
  • AI-Augmented Testing: Leverage AI-powered tools like Cursor or Augment to prototype, scaffold new test suites, diagnose failures, and generate advanced data validation test scenarios.
  • Data Automation Excellence: Develop, maintain, and extend scalable data automation frameworks and data quality monitoring suites by leveraging LLMs.
  • Governance & Standards: Establish and enforce data QA best practices, coding standards, and rigorous code review processes for the automation team.
  • Advocate for Automation: Champion an automation-first approach to data quality, minimizing manual data reconciliation, and partner with data engineering to reduce manual testing effort.

Qualifications

  • Bachelor's degree in Computer Science, Data Engineering, or equivalent professional experience.
  • 7–10 years in Software Quality Assurance, including leadership of end-to-end testing across software and data lifecycle.
  • Knowledge of relational databases and strong proficiency in SQL for data validation, reconciliation, and root cause analysis.
  • Solid understanding of data pipelines, ETL/ELT, data warehouse architecture, and OLAP tech (Redshift, Snowflake, BigQuery, or equivalent).
  • Strong proficiency in Python for reading, understanding, and debugging data pipeline code.
  • Proven experience in QA automation, including designing automated test frameworks, test suites, and CI/CD-integrated testing pipelines.
  • Proactive use of AI-powered tools to accelerate test authoring, debugging, and data documentation workflows (e.g., Augment, Cursor, Gemini).
  • Experience managing full release cycles for data features, from scoping testing requirements to Go/No-Go decisions.
  • Excellent analytical and problem-solving abilities, attention to detail, and ability to work independently in fast-paced Agile teams.
  • Strong written and verbal English communication skills.

Skills

Required:Data quality automationSQLPythonQA automation frameworksAI-augmented testingRelease ownership
Last updated Sep 10, 2026. Interested? Apply on the company site.
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About Juniper Square

Connected software and fund administration services | Juniper Square

Over 2,100 GPs across private equity, venture capital, and commercial real estate trust Juniper Square’s connected fund software and services to raise capital more efficiently, reduce operational risk, and deliver a world-class LP experience.

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