Data Engineer - Snowflake

Capgemini; Montreal (administrative region); On-site; CAD 79,000 - 101,000; Full time

Benefits offered by this job

Paid time off

Medical, dental, and vision coverage

Retirement savings plans

Life and disability insurance

Employee assistance programs

Job summary

Capgemini is seeking a data engineer in Montreal to design and develop scalable data and analytics solutions using Snowflake, Databricks and Python. You will build ETL/ELT pipelines, optimize performance, and collaborate with cross-functional teams on end-to-end data products.

The role requires strong SQL, data modeling, and cloud experience, with a focus on governance, security, and production support. Opportunity to contribute to modern data platforms and reporting workloads.

Qualifications

• 5+ years of software development experience.
• 3+ years of experience with Snowflake and cloud data platforms.
• 2+ years hands-on Databricks Spark development experience.
• Strong Python programming and SQL skills.
• Experience building ETL/ELT pipelines and data workflows.
• Knowledge of data warehousing and data lake architectures.
• Familiarity with Airflow or Azure Data Factory for orchestration.
• Experience with distributed systems and performance tuning.
• Proactive problem solving and stakeholder communication.

Responsibilities

• Design, develop and maintain scalable data solutions using Snowflake and Databricks.
• Build and optimize ETL/ELT pipelines for structured and unstructured data.
• Develop Python applications, automation scripts, APIs and data integrations.
• Write complex SQL, stored procedures and data transformations.
• Implement data models, quality controls and reconciliation processes.
• Collaborate with analysts, engineers and architects across teams.
• Monitor, troubleshoot and optimize data pipelines and applications.
• Support CI/CD, testing, release management and production support.
• Ensure security, governance and regulatory compliance.

Skills

Snowflake Data Cloud

Databricks

Python

SQL

ETL/ELT pipelines

REST APIs

Data modeling

Spark / PySpark

Airflow

Kafka

Power BI / Tableau

Tools

Airflow

Azure Data Factory

Kafka

Snowpark / Databricks AI

Job description

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.Position SummaryWe are seeking a highly motivated Data Engineer with strong expertise in Snowflake Databricks Python and SQL to design develop and support scalable data and analytics solutions The ideal candidate will have experience building data pipelines optimizing largescale data processing workloads and developing cloud native applications that support business critical reporting analytics and operational processesKey ResponsibilitiesDesign develop and maintain scalable data solutions using Snowflake and DatabricksBuild and optimize ETL/ELT pipelines for structured and unstructured data processingDevelop high-quality Python applications automation scripts APIs and data integration servicesWrite complex SQL queries stored procedures views and performance tuned data transformationsImplement data models data quality controls validation frameworks and reconciliation processesCollaborate with business analysts data engineers architects and application teams to deliver end-to-end solutionsMonitor troubleshoot and optimize data pipelines and application performanceSupport CICD deployments testing release management and production support activitiesEnsure solutions meet security governance audit and regulatory requirementsContribute to cloud modernization initiatives and data platform enhancementsRequired Skills QualificationsStrong experience with Snowflake Data CloudHands-on experience with Databricks and Apache SparkAdvanced Python programming skills Pandas Pyspark NumPy REST APIsExpert level SQL development and query optimizationExperience building ETLELT solutions and data pipelinesGood understanding of data warehousing dimensional modeling and data lake architectureExperience with cloud platforms such as Azure AWS or GCPKnowledge of Git CICD pipelines and Agile development practicesExperience troubleshooting performance issues across databases and distributed environmentsExperience with Snowpark Cortex AI or Databricks AI capabilitiesKnowledge of orchestration tools such as Airflow or Azure Data FactoryFamiliarity with Kafka streaming data or event driven architecturesExperience with Power BI Tableau or other analytics reporting platformsUnderstanding of financial services or enterprise data platforms5+ years of software application development experience3+ years of experience with Snowflake and cloud based data platforms2+ years of hands-on Databricks Spark development experienceProven track record delivering largescale data and analytics solutionsStrong problem-solving and analytical skillsExcellent communication and stakeholder management abilitiesPassion for automation performance optimization and continuous improvement.The base compensation range for this role in the posted location is: 79,000 to 101,000.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 LeaveMedical, 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 insuranceEmployee assistance programsOther benefits as provided by local policy and eligibilityImportant 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.DisclaimersCapgemini 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-lawCapgemini 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.