Requirements Summary

You must have a strong background in software quality assurance, data engineering, and programming skills, with experience in leading end-to-end testing efforts and managing the full release cycle for data features

Benefits

Education

Bachelor's degree

Full Job Description

Role Overview As a QA Automation Lead for Data Engineering at Juniper Square, you will be the primary owner of data quality and reliability for your project. You will drive the end-to-end data testing strategy, ensuring the integrity, accuracy, and performance of our data pipelines and analytical platforms. What You Will Do You will partner with Data Engineering and Product leadership to define the data validation and automation strategy for data platform features and new architecture releases. You will 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. Why It Might Be a Fit You must be detail-oriented, passionate about data accuracy, and a strong advocate for high-quality data products and the end-user experience. You will collaborate closely with data engineering, product, and data science teams to help define and drive our manual and automated testing efforts. Requirements Bachelor's degree in Computer Science, Data Engineering, or equivalent professional experience. 7–10 years in Software Quality Assurance, including demonstrated ability to lead end-to-end testing efforts across the full software and data lifecycle. Knowledge of relational databases and strong proficiency in SQL with the ability to write complex queries for data validation, reconciliation, and root cause analysis. Solid understanding of data engineering concepts including data pipelines, ETL/ELT workflows, data warehouse architecture, and OLAP technologies (e.g., Redshift, Snowflake, BigQuery, or equivalent). Strong proficiency in Python including the ability to read, understand, and debug data pipeline code. Proven experience in QA automation, including designing and implementing automated test frameworks, test suites, and CI/CD-integrated testing pipelines. Experience managing the full release cycle for data features, from scoping testing requirements to final 'Go/No-Go' delivery decisions. Excellent analytical and problem-solving abilities, exceptional attention to detail, and the ability to work independently in fast-paced Agile development teams with minimal supervision. Strong written and verbal communication skills in English. Benefits Fully remote experience Physical offices in San Francisco, New York City, Mumbai and Bangalore for employees who prefer to work in an office some or all of the time Digital-first operations Collaborative and fast-paced Agile development teams Opportunity to help define a category at a pivotal moment

Skills and Technologies