Location: Remote anywhere in Canada

About the job you're considering:

As a Senior Software Engineer, you will work on one of the world's largest social media platforms, handling multiple petabytes of data processed daily. You will be part of a self-organized R&D team working in a challenging and innovative environment for our client. You will investigate, design, and implement solutions for complex technical challenges using cutting-edge technologies, including building and enhancing data processing platforms that power software used by hundreds of millions of users.

Your role:

• Receive tasks from the Project Lead or Team Lead (TL), prepare functional and design specifications, and align them with all stakeholders.
• Ensure assigned areas are delivered on time and meet quality expectations.
• Provide effort estimations, agree on timelines with the manager, and contribute to project planning.
• Evaluate existing data systems and identify improvement opportunities.
• Develop best practices for data coding to ensure system-wide consistency.
• Update and optimize local and metadata models.
• Assess implemented data systems for discrepancies, variances, and performance efficiency.
• Troubleshoot and optimize data infrastructure and pipelines.
• Understand business drivers and analytical use cases, translating them into reliable data products.
• Design, implement, and maintain cloud-based pipelines that deliver business-critical data efficiently.
• Identify area-level risks and implement mitigation plans.
• Report readiness/quality status and escalate critical issues appropriately.
• Propose technical and functional improvements to enhance the product.
• Continuously upgrade professional knowledge and skills and collaborate closely with cross-functional teams

Your skills and experience:

• 5+ years of experience as a Software Engineer with strong Python development skills, including hands-on PySpark and Apache Spark implementation.
• Mid-level Java proficiency (minimum 2.5/5), with practical experience writing, debugging, and maintaining Java code.
• 3+ years of experience building, operating, and supporting large-scale, scalable Big Data platforms or infrastructure.
• Strong knowledge of Big Data technologies, including: Apache Spark, Hadoop ecosystem. Parquet. ORC file formats and Apache Flink (or similar stream-processing frameworks).

• Proven troubleshooting and production support skills, including the ability to handle SEV-1 / critical production incidents under pressure.
• Strong ability to organize, document, and communicate solutions, including technical design, root cause analysis (RCA), and operational runbooks.
• A passion for streamlining systems and processes to make the difficult trivial
• Effective communication (oral & written), collaboration, and interpersonal skills
• Good to have experience in AWS, Kubernetes (K8s), and Docker.

The base compensation range for this role in the posted location is: $ 62,874- $147,504/year.

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