Data QA
Data QA
Posted on :
09-07-2025
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1 Vacancy
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Job Description
We are seeking an experienced Data QA Engineer to support testing and quality assurance efforts for a major Contact Centre Renewal Project. This role involves developing and executing test cases validating data pipelines and ensuring high data integrity from cloud sources to Big Data environments. You will collaborate closely with data engineers architects and business analysts to deliver trusted data assets across the organization.
Please note this is a 5 month contract position.
- Lead the design and execution of data validation and functional test cases for Big Data pipelines.
- Coordinate testing efforts and deployment readiness from lower environments to production.
- Analyze data requirements and support data model and mapping validation.
- Work with engineering teams to build and maintain automated data quality pipelines.
- Conduct end-to-end data validation using tools and test calls (e.g. Genesys Cloud) ensuring alignment from source to testing processes test results and sustainment procedures.
Requirements
- 5 years of experience in data quality assurance and testing including developing and executing functional test cases validating data pipelines and coordinating deployments from development to production environments.
- Has supported at least one Enterprise/Government Organization with Big Data platforms and tools such as Hadoop (HDFS Pig Hive Spark) Big SQL NoSQL and Scala ideally within cloud-based environments.
- 3 data analysis and modeling projects including working with structured and unstructured databases building automated data quality pipelines and collaborating with data engineers and architects to ensure high data integrity.
- Experience developing and executing test cases for Big Data pipelines with deployments across dev test and production environments.
- Strong SQL skills for validation troubleshooting and data profiling.
- Applied knowledge of Big Data platforms including Hadoop (HDFS Hive Pig) Spark BigSQL NoSQL Scala.
- Familiarity with cloud data ingestion and integration methods.
- Experience working with structured and unstructured data formats.
- Understanding of data modeling data structures and use-case-driven design.
- Experience in test automation for data validation pipelines is a strong asset.
- Prior experience with Genesys Cloud testing is a plus.
- Exposure to Tableau or other BI tools is beneficial.
Hybrid role: 2 days/week onsite in North Vancouver
5+ years of experience in data quality assurance and testing, including developing and executing functional test cases, validating data pipelines, and coordinating deployments from development to production environments. Has supported at least one Enterprise/Government Organization with Big Data platforms and tools, such as Hadoop (HDFS, Pig, Hive, Spark), Big SQL, NoSQL, and Scala, ideally within cloud-based environments. 3+ data analysis and modeling projects, including working with structured and unstructured databases, building automated data quality pipelines, and collaborating with data engineers and architects to ensure high data integrity. Experience developing and executing test cases for Big Data pipelines, with deployments across dev, test, and production environments. Strong SQL skills for validation, troubleshooting, and data profiling. Applied knowledge of Big Data platforms including Hadoop (HDFS, Hive, Pig), Spark, BigSQL, NoSQL, Scala. Familiarity with cloud data ingestion and integration methods. Experience working with structured and unstructured data formats. Understanding of data modeling, data structures, and use-case-driven design. Experience in test automation for data validation pipelines is a strong asset. Prior experience with Genesys Cloud testing is a plus. Exposure to Tableau or other BI tools is beneficial. Hybrid role: 2 days/week onsite in North Vancouver
Employment Type
Full Time
Key Skills
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