Senior Data Analyst at Capgemini Portugal

Mississauga, Ontario, Canada -

Full Time

Start Date

Immediate

Expiry Date

08 Jun, 26

Salary

165984.0

Posted On

10 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Test Automation, Snowflake, Data Validation, SQL, QA Engineering, CI/CD, APIs, Data Pipelines, JIRA, Client Collaboration, Test Planning, Defect Tracking, Test Frameworks, Data Quality, Mentoring

Industry

IT Services and IT Consulting

Description

Job SummaryWe are seeking an experienced Senior QA Engineer with strong expertise in Python-based test automation and Snowflake data validation. The ideal candidate will have at least 6 years of QA experience, work directly with clients, and take ownership of designing, developing, and maintaining automated QA scripts across data and application layers. This role requires strong technical skills, excellent communication, and a proactive quality mindset. Key ResponsibilitiesDesign, develop, and maintain automated test scripts using Python for functional, integration, and regression testingPerform data validation and testing in Snowflake, including complex SQL queries and data quality checksCollaborate directly with clients and business stakeholders to understand requirements, clarify acceptance criteria, and provide QA status updatesParticipate in requirements analysis, test planning, test case design, and defect trackingExecute end-to-end testing across APIs, data pipelines, and applicationsIdentify, document, and track defects; work closely with development teams to ensure timely resolutionIntegrate automated tests into CI/CD pipelinesEnsure data accuracy, consistency, and completeness across source systems and SnowflakeMentor junior QA engineers and promote QA best practicesContinuously improve test frameworks, tools, and QA processes Required Skills & Qualifications6+ years of experience in Software Quality AssuranceStrong hands-on experience with Python for test automationSolid experience working with Snowflake (SQL, data validation, schema understanding)Experience writing automated tests for data-driven applicationsStrong knowledge of software testing methodologies, SDLC, and STLCExperience testing APIs, data pipelines, and backend systemsProficiency in SQL and data analysisExperience working directly with clients and handling offshore/onshore communicationFamiliarity with defect tracking tools (JIRA or similar)Strong analytical, problem-solving, and communication skillsJob Description Data analysts import, inspect, clean, transform, validate, model, or interpret collections of data with regard to the business goals of the company. They ensure that the data sources and repositories provide consistent and reliable data. Data analysts use different algorithms and IT tools as demanded by the situation and the current data. They might prepare reports in the form of visualizations such as graphs, charts, and dashboards.Job Description - Grade Specific The role combines leadership, technical expertise, and project management skills to ensure the successful delivery of data analysis projects and the development of a high performing data analyst team. They play a critical role in leveraging data to drive business growth, optimize processes, and enable informed decision making across the organization.The base compensation range for this role in the posted location is $70,751 to $165,984. Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law. The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity. It is not typical for candidates to be hired at or near the top of the posted compensation range. In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws. Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave Medical, dental, and vision coverage (or provincial healthcare coordination in Canada) Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada) Life and disability insurance Employee assistance programs Other benefits as provided by local policy and eligibility Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation. Disclaimers Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

Responsibilities

The role involves designing, developing, and maintaining automated QA scripts using Python, focusing on functional, integration, and regression testing across data and application layers. Key duties include performing data validation in Snowflake using complex SQL queries and collaborating directly with clients to understand requirements and provide status updates.