QA Automation Lead – Data Engineering

🕒 May 27

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

⚙️ Software Development Engineer in Test (SDET)

👻 Ghost score 52%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Juniper Square

WebsiteLinkedInAll Job Openings

201 - 500 employees

💸 Finance

🏠 Real Estate

☁️ SaaS

💰 $75M Series C on 2019-11

Finance • Real Estate • SaaS

Juniper Square is a company that provides a comprehensive platform and solutions tailored for private investment partnerships. Founded in 2014, the company focuses on enabling seamless connection and communication between General Partners (GPs) and Limited Partners (LPs) throughout the entire investment lifecycle. Juniper Square's technology is purpose-built to support commercial real estate, private equity, and venture capital firms of all sizes. The platform offers services such as fund administration, fundraising, investor management, compliance, and investor reporting, all aimed at enhancing transparency, data governance, and the overall investor experience.

📋 Description

• Own data quality and reliability for assigned projects • Drive the end-to-end data testing strategy for data pipelines and analytical platforms • Ensure data integrity, accuracy, and performance • Oversee release readiness • Collaborate with data engineering, product, and data science teams on manual and automated testing efforts • Partner with Data Engineering and Product leadership to define data validation and automation strategies • Design and execute complex backend data-system tests covering data integrity, distributed-systems logic, transformation consistency, and asynchronous batch or stream processing • Use AI-powered tools to prototype and scaffold test suites, diagnose failures, and generate data-validation scenarios • Develop, maintain, and extend scalable data automation frameworks and data-quality monitoring suites using LLMs • Establish and enforce data QA best practices, coding standards, and code-review processes • Promote automation-first data quality and reduce manual testing and reconciliation effort

🎯 Requirements

• Bachelor's degree in Computer Science, Data Engineering, or equivalent professional experience • 7–10 years in Software Quality Assurance • Demonstrated ability to lead end-to-end testing efforts across the full software and data lifecycle • Knowledge of relational databases • Strong proficiency in SQL, including complex queries for data validation, reconciliation, and root cause analysis • Understanding of data pipelines, ETL/ELT workflows, data warehouse architecture, and OLAP technologies such as Redshift, Snowflake, or BigQuery • Strong proficiency in Python, including reading, understanding, and debugging data pipeline code • Proven experience designing and implementing automated test frameworks, test suites, and CI/CD-integrated testing pipelines • Experience using AI-powered tools such as Augment, Cursor, or Gemini for test authoring, debugging, and data documentation • Experience managing the full release cycle for data features, including testing requirements and Go/No-Go delivery decisions • Excellent analytical and problem-solving abilities • Exceptional attention to detail • Ability to work independently in fast-paced Agile development teams with minimal supervision • Strong written and verbal communication skills in English

🏖️ Benefits

• Juniper Square offers employees a variety of ways to work, ranging from a fully remote experience to working full-time in physical offices • Digital-first operations and flexible office work options • Ability to work remotely or from physical offices in San Francisco, New York City, Mumbai, and Bangalore • Global, collaborative work environment • Opportunity to work on ambitious, meaningful projects shaping the future of private markets • Work alongside exceptionally talented teammates • Open debate, deep collaboration, diverse perspectives, transparency, and feedback-oriented culture