Sr. Data Engineer (Python & Spark)

Capgemini; Canada; On-site; CAD 80,000 - 120,000; Full time

Job summary

A leading technology consultancy in Canada is seeking a Senior Data Engineer (Python & Spark) to develop distributed data processing solutions. The ideal candidate will have over 5 years of experience in data engineering, excellent SQL and Python skills, and expertise in ETL orchestration. This role involves leading teams and creating data models for high-volume systems. The position supports a collaborative environment with a focus on innovation and excellence in data management.

Benefits

Healthcare including dental and vision

Financial well-being programs

Paid time off and paid holidays

Paid parental leave

Mentoring and learning programs

Qualifications

• 5+ years experience working in data engineering or similar.
• Proficiency in programming languages Python and SQL.
• Experience in ETL orchestration with tools like Airflow and Snowflake.

Responsibilities

• Build distributed data processing solutions for various business cases.
• Provide leadership and guidance to the development team.
• Design and implement large-scale data models and pipelines.

Skills

Python

SQL

Spark

Data Engineering

ETL orchestration

Communication skills

Education

University degree in Computer Related Sciences

Tools

Airflow

Snowflake

AWS

Job description

About the job you’re considering

Name of the position: Sr .Data Engineer(Python & Spark)

Reports to: Team Lead/Delivery Manager

As a Senior Data Engineer, you will build distributed data processing solution and highly loaded database solutions for various business cases including reporting, product analytics, marketing optimization and financial reporting. Contribute as part of a self-organized team of experienced data engineers working in a challenging, innovative environment for our client, creating the foundation for decision‑making at a company dealing with billions of events per day.

Investigate, create, and implement the solutions for existing technical challenges. Provide guidance, instruction, direction, and leadership to a development team with the purpose of achieving project goals.

Your role

• Obtains tasks from the project lead or Team Lead (TL), prepares functional and design specifications, approves them with all stakeholders.
• Ensures that assigned area/areas are delivered within set deadlines and required quality objectives.
• Provides estimations, agrees task duration with the manager and contributes to project plan of assigned area.
• Analyzes scope of alternative solutions and makes decision about area implementation based on his/her experience and technical expertise.
• Leads functional and architectural design of assigned areas. Makes sure design decisions on the project meet architectural and design requirements.
• Addresses area‑level risks, provides and implements mitigation plan.
• Reports about area readiness/quality, and raises red flags in crisis situations which are beyond his/her AOR.
• Responsible for resolving crisis situations within his/her AOR.
• Design, develop and implement large‑scale, high‑volume, high‑performance data models and pipelines for Data Lake and Data Warehouse.
• Develop and implement data quality checks, conduct QA and implement monitoring routines. Improve the reliability and scalability of our ETL processes.
• Initiates and conducts code reviews, creates code standards, conventions and guidelines.
• Suggests technical and functional improvements to add value to the product.
• Constantly improves his/her professional level.
• Collaborates with other teams.

Your skills and experience

• University degree in Computer Related Sciences or similar.
• 5+ years experience working in data engineering, business intelligence, or a similar role. Proficiency in programming languages Python.
• Expert in Database fundamentals, Advanced proficiency in Complex SQL and distributed computing.
• 5+ years of experience in ETL orchestration and workflow management tools like Airflow, Flink, Oozie and Azkaban using AWS/GCP.
• Experience in Spark, Snowflake & Databricks.
• Must have ability to debug spark jobs.
• Experience working with Snowflake, Redshift, PostgreSQL and/or other DBMS platforms.
• Excellent communication skills and experience working with technical and non-technical teams.
• Able to clear Hacker Rank code test.
• Experience in AWS (EC2/S3/IAM).
• Experience working with technical and non-technical teams. Knowledge of reporting tools such as Tableau, Superset and Looker.
• Strong Python coder with expert data migration experience.

Life at Capgemini

Capgemini supports all aspects of your well‑being throughout the changing stages of your life and career. For eligible employees, we offer:

• Healthcare including dental, vision, mental health, and well‑being programs
• Financial well‑being programs such as 401(k) and Employee Share Ownership Plan
• Paid time off and paid holidays
• Paid parental leave
• Family building benefits like adoption assistance, surrogacy, and cryopreservation
• Social well‑being benefits like subsidized back‑up child/elder care and tutoring
• Mentoring, coaching and learning programs
• Employee Resource Groups
• Disaster Relief

About Capgemini

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. The Group reported 2024 global revenues of €22.1 billion.

Capgemini is an Equal Opportunity Employer encouraging inclusion in the 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.

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 accommodations do not pose an undue hardship.

Capgemini is committed to providing reasonable accommodations 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.

Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini.