Specialist, Quality Engineering - Data + Analytics

Definity Financial Corporation; Old Toronto; Hybrid; CAD 80,000 - 100,000; Full time

Job summary

An established industry player is seeking a Quality Engineering Specialist to join their dynamic team in a fast-paced environment. This role emphasizes an automation-first mindset and collaboration with cross-functional teams to enhance testing strategies for Big Data platforms. You will be pivotal in ensuring data integrity, optimizing testing processes, and providing valuable insights to stakeholders. If you are passionate about quality assurance and eager to make a significant impact in the insurance domain, this opportunity is perfect for you. Join a forward-thinking company that values innovation and continuous improvement in its operations.

Qualifications

• 7+ years in Quality Engineering for Big Data/Data warehouse.
• Experience with Cloud platforms like GCP, AWS, or Azure.

Responsibilities

• Contribute to test strategies and maximize automation coverage.
• Define and implement test data strategy and validate data ingestion.

Skills

Quality Engineering

Data Ingestion

ETL Testing

Data Integrity Testing

Cloud Testing

SQL

Python/Pyspark

Agile Methodologies

Business Analysis

Communication Skills

Education

Undergraduate degree in Computer Science

Tools

JIRA

Confluence

Zephyr

BigQuery

Airflow

Cloud Composer

Looker Studio

Job description

Work closely with a technical and agile development team in a fast-paced, customer-oriented environment. You will play a key role throughout the release life cycle by working closely with the Quality Testing team, software developers, and project stakeholders to ensure that Quality Testing goals have been met.

What can you expect in this role?

• As a QE Specialist, you will be responsible for contributing to and executing on test strategies and test plans for releases with a focus on optimized coverage across work streams.
• Maximize test automation coverage by bringing in an automation-first mindset and look for opportunities to shift-left testing in the delivery process.
• Define & implement strategy for Big Data platform to validate data ingestion, ETL, data integrity, data analytical reports, etc.
• Define and implement test data strategy using data seeding, masking, and data generation.
• Work collaboratively with cross-functional teams across various work streams.
• Lead POD QE team or work independently and drive testing priorities to achieve the necessary business outcomes.
• Provide accurate and detailed QE test status to stakeholders, along with issues, trends, and potential impact, and drive timely resolution of impediments.
• Identify and select industry best practices to support continuous process improvements and efficiencies in the overall QE processes at Definity.
• Participate in the coordination of the change/release management and production implementation processes and activities.
• Ensure optimal coverage and governance on vendor deliverables.
• Provide project and technical orientation and support for team members.
• Work closely with business/project teams to understand the business meaning of data, and provide analysis and requirements to develop data governance and complete test case coverage.
• Support development of insurance domain knowledge and understanding of business processes within the team.

What do you bring to the role?

• Undergraduate degree in Computer Science or a related discipline.
• 7+ years of experience in Quality engineering for Big Data/Data warehouse.
• Experience in data ingestion, ETL testing, data integrity testing, and Cloud testing.
• Experience with Cloud data platform (GCP preferred, AWS or Azure as optional).
• Proficiency in SQL, BigQuery, Python/Pyspark, and any data platform.
• Knowledge of Airflow DAG, Cloud composer, Looker studio, or similar.
• Strong ability to analyze business and user requirements and translate them into testing deliverables such as testing data, SQL queries, and validate expected results.
• Good communication and interpersonal skills to interact with different stakeholders.
• Working knowledge of JIRA, Confluence, and test management tools like Zephyr is mandatory.
• Experience in the insurance domain will be an added advantage.
• Experience with Agile software development practices and methodologies.
• Goal-oriented; must be able to remove roadblocks and deliver goals.
• Proven ability to adapt quickly and easily to change.
• Ability to work in an onshore-offshore model is an added advantage.
• Adapt to work in a hybrid work model is a must.
• We also take potential into consideration. If you don’t have this exact experience, but you know you have what it takes, be sure to give us more insight through your application and cover letter.