Skip to content

MABASA / LINKEDIN

Data Test Engineer

Synechron

Location
Auckland, New Zealand
Work type
fulltime
Source publication date
Original publication date not confirmed
Source closing date
Not supplied — check original advert

Job description from the source

**About the Company :** At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,000+, and has 55 offices in 20 countries within key global markets. For more information on the company, please visit our website: www.synechron.com *Note: A minimum of 7+ years of experience is required for this role.* **Description:** We are seeking an experienced **Data Test Engineer** with strong knowledge of data warehousing, ETL processes, SQL, and data validation methodologies. **Key Responsibilities:** * Design and execute test scenarios for data pipelines, ETL processes, and data warehouses. * Validate data accuracy, completeness, consistency, and transformation logic. * Perform source-to-target data validation and reconciliation. * Test Slowly Changing Dimensions (SCD Types 1 and 2), audit columns, incremental loads, and historical data. * Develop and execute complex SQL queries for data testing and analysis. * Identify, document, and track data defects through to resolution. * Collaborate with data engineers, developers, business analysts, and stakeholders. * Support testing across modern data platforms and cloud-based data pipelines. * Prepare test cases, test results, defect reports, and validation documentation. **Required Skills and Experience:** * Hands-on experience in **data testing and data validation** . * Strong understanding of **ETL processes and data warehousing concepts** . * Practical knowledge of **SCDs, audit columns, data mapping, and data reconciliation** . * Strong SQL skills, including joins, aggregations, subqueries, and validation queries. * Experience testing batch and/or real-time data pipelines. * Exposure to modern data platforms such as **Databricks, Snowflake, Azure, or AWS** . * Good understanding of data quality, defect management, and testing methodologies. * Strong analytical and problem-solving skills. **Desirable:** * Experience with Databricks or other cloud-based data platforms. * Familiarity with automation tools and Agile/Scrum delivery. * Previous experience working with ASB or in banking/financial services environments.

Check the original advert before applying

Apply through the employer or original publisher. An external site may require registration. Opening an advert does not submit an application.

Content is supplied by an external publisher and may change. For source and availability limits, read our listing disclaimer. How to check an original listing ↗

Source listing details