Software Developer in test (Data Platform)

Having recognized the advantages of remote work, including employee morale, productivity, reduced commuting on employee wellbeing and the environment, we are proud to be a digital-first company. The technologies and programs in which we invested have provided a fantastic foundation to this end. Our digital-first work environment, together with our conveniently located offices and collaborative workspaces, provide our team with the freedom and flexibility to work in the way that makes our employees most productive. About usTecsys is a fast-growing innovator offering supply chain solutions to industry leading healthcare systems, hospitals, and pharmacy businesses to distributors, retailers, and 3PLs. We work with industry leaders to transform their supply chains through technology. If you thrive on tackling interesting challenges with continuous learning opportunities, then Tescys could be a good fit for you!

About the RoleWe are looking for a Software Developer in Test (Data Platform) to join our TecsysIQ Data & AI team. This role is focused on ensuring the quality, reliability, and integrity of our cloud-based data platform built on AWS and Databricks. Unlike traditional QA roles, this position is centered on data pipelines, transformations, and business rule validation across Bronze, Silver, and Gold layers. A key expectation of this role is to embed automated testing as part of the development lifecycle. For every feature or transformation developed, you will help define and build the automated tests upfront—ensuring they can be reused continuously during development and later as part of regression testing. The goal is to establish a test-first, automation-driven culture, where automated validation provides fast feedback on data quality and stability, while manual testing complements this with edge case validation and exploratory testing. You will work closely with Data Engineers, Product Owners, and Business Stakeholders to ensure that all delivered data products meet business expectations with high quality and consistency.

Responsibilities • Actively participate as a member of an agile data platform team • Collaborate with Data Engineers and Product Owners to define test strategies alongside feature development • Design and implement automated test cases upfront for new pipelines and transformations • Build and maintain automated regression testing frameworks for data pipelines • Ensure automated tests are reusable across development cycles and integrated into regression suites • Validate end-to-end data pipelines from Bronze to Silver and Gold • Integrate automated tests into CI/CD pipelines to enable continuous validation • Design and implement data observability checks, including: • Data freshness • Schema drift detection • Volume validation • Metric anomaly detection

• Ensure downstream semantic layers, metrics, and BI dashboards remain consistent after changes • Perform impact analysis when transformation logic evolves • Write SQL and Python-based validation scripts • Identify data quality issues, root causes, and gaps in transformation logic • Contribute to best practices for test automation, data quality, and observability • Complement automated testing with manual testing for edge cases, exploratory scenarios, and creative validation. • Support release validation and production verification