25 Oct
|
Capgemini Engineering
|
Toronto
25 Oct
Capgemini Engineering
Toronto
This is a remote position in Canada.
We are seeking a highly skilled Software Engineer with strong expertise in Apache, SQL, Python, Scala, Hive, and Parquet to build and maintain large-scale data processing solutions. The ideal candidate will have experience developing distributed data applications, optimizing big data workloads, and building reliable data pipelines that support analytics, reporting, and machine learning initiatives.
Design, develop, and maintain scalable data processing applications using Apache and SQL.
Build high-performance ETL and data transformation pipelines using Python and Scala.
Develop and optimize batch and near-real-time data processing workflows.
Work with large-scale data sets stored in Parquet, Hive, and distributed storage systems.
Write efficient SQL queries and optimize execution plans for performance and scalability.
Design data models, partitioning strategies, and storage layouts to improve processing efficiency.
Collaborate with Data Engineers, Software Engineers, Data Scientists, and Product Teams to deliver data-driven solutions.
Implement automated testing, monitoring, and deployment processes for data applications.
Ensure data quality, reliability, security, and governance standards are met.
Bachelor’s or master’s degree in computer science, Engineering, or a related technical field.
- 5+ years of professional software engineering or data engineering experience.
- Apache /SQL/Python/Scala.
- Experience developing and optimizing ETL pipelines processing large-scale datasets.
- Strong SQL programming and query optimization skills, familiarity with Linux environments and shell scripting.
- Experience using version control systems such as Git.
- Preferred qualifications include experience with AWS cloud platforms, distributed computing and large-scale data architecture, Airflow orchestration, data lake and lakehouse environments, data storage formats such as Iceberg, ORC,
and Avro, and containerization technologies including Docker and Kubernetes.
Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. 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.
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. 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., Life and disability insurance
Employee assistance programs
Other benefits as provided by local policy and eligibility
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.
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 workplace. 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.
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. 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.
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 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.
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📌 Software Development Engineer - Remote (Toronto)
🏢 Capgemini Engineering
📍 Toronto