Data Engineer with Spark

Capgemini; Mississauga; Hybrid; CAD 72,000 - 80,000; Full time

Job summary

Capgemini Canada in Mississauga is seeking a seasoned data engineer to lead scalable analytics on Hadoop/Spark platforms. You will design, implement and optimize data pipelines, collaborate with cross-functional teams, and ensure robust production systems.

A Bachelor’s degree and 5-8 years of experience are required. Strong Python/PySpark, Spark, and SQL skills, plus knowledge of HDFS, YARN, and NoSQL stores, are essential for delivering high-quality data solutions in a fast-paced environment.

Qualifications

• Bachelor's 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.

Responsibilities

• Monitor and control all phases of development and analysis design construction testing and implementation as well as provide user and operational support on applications to business users.
• Analyze complex problems and evaluate business processes, systems and industry standards.
• Recommend and develop security measures in post-implementation analysis of business usage.
• Consult with users, clients and other technology groups on issues and propose advanced programming solutions.
• Define operating standards and processes and act as advisor or coach to new or lower level analysts.
• Operate with limited supervision and exercise independence of judgement.
• Serve as SME to senior stakeholders and team members.

Skills

HDFS architecture

Spark Core/SQL/Streaming

Python

PySpark

Pandas

NumPy

SQL concepts

Dimensional modelling

YARN management

Zookeeper

HBase

Cassandra

MongoDB

Education

Bachelor's degree

Tools

HDFS

Spark

Python

PySpark

Pandas

NumPy

SQL

YARN

MapReduce

Zookeeper

HBase

Cassandra

MongoDB

Job description

Job is located in Mississauga, CA - Onsite Hybrid

Responsibilities:

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 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.

• 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

Important 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.

Disclaimers

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.

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-law

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.