ETL QA Test Analyst

Galent; Toronto; On-site; CAD 70,000 - 100,000; Full time

Job summary

Galent is seeking an ETL QA Test Analyst in Toronto. The ideal candidate will have a strong background in Software Quality Assurance, SQL expertise, and experience with ETL tools. Responsibilities include testing, data validation, and collaborating on complex data projects. Join a dynamic team focused on data quality and innovation in the data warehousing space.

Qualifications

• 5+ years of experience in Software Quality Assurance.
• Experience with data modeling and ETL tools.
• Proficient in SQL for data verification and analysis.

Responsibilities

• Develop and execute comprehensive test plans for ETL processes.
• Perform data validation and regression testing on data warehouse applications.
• Collaborate with teams to ensure data quality across platforms.

Skills

SQL

Data Warehouse Testing

ETL testing

Python

Data Analysis

Cloud Snowflake

AWS

Hadoop

Tools

Informatica Power Center

Jira

Job description

Direct message the job poster from Galent

Talent Acquisition Lead @Galent (Formerly Diamondpick Inc) | Expert in Recruitment- US | Canada

Position : ETL QA Test Analyst

Location : Toronto, ON, Canada

Top Capability skills required

• SnowFlake
• Hadoop

Key Responsibilities :

• 5+ Years of Software Quality Assurance experience on enterprise level applications which includes Data Warehouse Testing.
• Experience in writing complex SQL queries, Experience in writing complex SQL queries, ability to determine the types of testing that must be conducted (i.e., data validation, regression, etc.), including evaluating the testability of requirements and create a comprehensive test plan that supports the business and technological solutions being delivered.
• Should have experience testing multiple test phases in medium to large projects.
• Understanding of information governance principles and how they could apply in a testing capacity.
• Should have adequate experience and clear understanding of data warehouse and data mart testing.
• Identification and Test Data Preparation Techniques.
• Ability to transform complex Business logic into SQL or PL / SQL queries.
• Thorough knowledge of Software Test Life Cycle, Test Case Life Cycle, Defect Life Cycle etc.
• Creating requirements traceability matrix (RTM)
• Proficiency with Test Case Preparation and Execution.
• QA Automation Test tools expertise using Python.
• Extensive exposure to ETL testing with high-level of SQL skills is required.
• Should have exposure to large data sets and understand Data Quality Framework.
• Experience in data analysis, including profiling, auditing, balancing, and reconciliation, in an Information technology operating environment.
• Defect tracking experience (i.e., Jira, ALM, etc.)
• Experience in tuning SQL queries, Stored Procedures, Views, etc. for performance improvements
• Should be detail oriented with analytical mind set.
• Knowledge of data models and entity relationship diagrams.
• Must have the ability to multi-task and adapt quickly to changes while maintaining urgency in completing assigned tasks.

Requirements :

• Experience with Cloud Snowflake and AWS(S3) including PostgreSQL DB, SQL Database, Hadoop Data Lake, and Mongo DB
• Must have experience in using ETL Tool informatica Power Center & BDM
• Experience with developing data extraction, transformation, and load programs (daily and initial load) functionality on a wide range of data repositories (structured and semi-structured files, relational and multi-dimensional data stores)
• Experience with data integration, data cleansing, and data analytics
• Experience with data modeling and design principles for data marts and data warehouses
• Excellent problem solving and analytical skills, able to handle challenging situations and act appropriately.
• Excellent learning skills must learn and also guide other team members on their knowledge.
• Should be a self-starter; takes responsibility and ownership and is self-driven.
• Ability to work independently with minimal supervision as well as ability to work within a team.
• Good team player; commitment to high-quality output and service.

Seniority level

Seniority level

Mid-Senior level

Employment type

Employment type

Full-time

Job function

Job function

Information Technology

Technology, Information and Internet

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