Data Engineer (Ontario)

Data Engineer (Ontario)

09 Aug
|
Capgemini
|
Ontario

09 Aug

Capgemini

Ontario

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.

Job Location
Job is located in Missisauga, CA - Onsite Hybrid

Your Role
Monitor and control all phases of development process and analysis design construction testing and implementation as well as provide user and operational support on applications to business users
Utilize in-depth specialty knowledge of applications development to analyze complex problems issues provide evaluation of business process system process and industry standards and make evaluative judgement
Recommend and develop security measures in post implementation analysis of business usage to ensure successful system design and functionality
Consult with users clients and other technology groups on issues recommend advanced programming solutions and install and assist customer exposure systems
Ensure essential procedures are followed and help define operating standards and processes
Serve as advisor or coach to new or lower level analysts
Has the ability to operate with a limited level of direct supervision
Can exercise independence of judgement and autonomy
Acts as SME to senior stakeholders and or other team members

Job Role:
This job description provides a high-level review of the types of work performed Other job-related duties may be assigned as required

In-depth understanding of HDFS architecture data storage and fault tolerance mechanisms
Experience with HDFS commands and administration
Solid understanding of YARN resource management and job scheduling
Fundamental understanding of MapReduce programming paradigm even if primary development is in Spark Flink Knowledge of Zookeeper for distributed coordination services
Strong proficiency in Spark Core Spark SQL Spark Streaming and Spark Graph Xbeneficial
Expert level programming skills in Python and Pyspark specifically for developing Spark applications
Experience with Spark performance optimization techniques eg caching partitioning shuffle optimizations memory management




Experience with PySpark for data processing
Familiarity with data manipulation libraries Pandas NumPy Scripting for automation and data orchestration
Complex query writing subqueries window functions and performance tuning HBase for real-time access to large datasets within Hadoop Cassandra MongoDB or similar
Familiarity with RDBMS concepts and SQL for data integration
Understanding of dimensional modeling fact and dimension tables star snowflake schemas"

Qualifications
Bachelors degree University degree or equivalent experience
5-8 years of relevant experience
Experience in systems analysis and programming of software applications
Experience in managing and implementing successful projects
Working knowledge of consulting project management techniques methods
Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements

The base compensation range for this role in the posted location is: 72000 - 80000

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 valuable 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.

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

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees.

Important Notice:

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.

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 is a responsible and diverse group of 340,000 team members in more than 50 countries. With its solid 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.

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📌 Data Engineer (Ontario)
🏢 Capgemini
📍 Ontario

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