Senior Data Engineer

Capgemini; Mississauga; On-site; CAD 110,000 - 170,000; Full time

Job summary

Capgemini in Mississauga, Canada seeks a Senior Data Engineer to join agile teams and develop Hadoop-based analytics for the Enterprise Data Lake initiative. You will integrate data across internal and external sources to provide analytical insights and drive critical systems integration.

The role involves leading data engineering efforts in a fast-paced environment, mentoring teammates, and delivering scalable data processing solutions using AWS Big Data technologies and Spark ecosystem.

Qualifications

• Bachelor's degree in a quantitative field and 9+ years of experience.
• Minimum 5 years experience working with big data solutions.
• Hands-on experience with AWS, shell scripting, SQL, Hadoop, Kafka, Spark, and Git.
• Experience with real-time data streaming systems.
• Ability to write abstracted reusable code components.
• Programming in Scala, Java, or Python.

Responsibilities

• Participate in the agile development process.
• Develop functional and technical specifications from business requirements for the commercial platform.
• Ensure application quality and adherence to performance requirements.
• Help create project estimates and plans. Represent engineering team in project meetings and solution discussions.
• Participate code review process.
• Work with team members to achieve business results in a fast paced and quickly changing environment.
• Pair up with data engineers to develop cutting edge Analytic applications leveraging AWS Big Data technologies (Kafka, PySpark, Spark, Hadoop, Shell Scripting, SQL).
• Mentor and influence up and down the chain of command.
• Perform other duties and/or projects as assigned.

Skills

Big data experience

Agile development

Mentoring

Analytical thinking

Education

Bachelor's degree in quantitative field

Tools

AWS

Kafka

Spark

PySpark

Hadoop

Shell scripting

SQL

Git

Job description

Year of experience: 8+ Years of experience

Senior Data Engineer role to be part of our scrum teams and perform functional system development for Hadoop applications for our Enterprise Data Lake initiative

This is high visibility fast paced key initiative will integrate data across internal and external sources provide analytical insights and integrate with our critical systems

• Participate in the agile development process
• Develop functional and technical specifications from business requirements for the commercial platform
• Ensure application quality and adherence to performance requirements
• Help create project estimates and plans Represent engineering team in project meetings and solution discussions
• Participate code review process
• Work with team members to achieve business results in a fast paced and quickly changing environment
• Pair up with data engineers to develop cutting edge Analytic applications leveraging AWS Big Data technologies Kafka PySpark Spark Hadoop Shell Scripting SQL
• Mentor and influence up and down the chain of command
• Perform other duties and or projects as assigned

Qualifications Requirements

• Bachelors degree in a quantitative field such as Engineering Computer Science Statistics Econometrics and a minimum of 9 years of experience
• Minimum 5 years experience working with and developing big data solutions
• Hands on experience on AWS writing shell scripts complex SQL queries Hadoop commands Kafka Spark and Git
• Experience with real ime data streaming systems
• Ability to write abstracted reusable code components
• Programming experience in at least two of the following languages Scala Java or Python

Desired Characteristics

• Strong business acumen
• Critical Thinking and Creativity
• Performance tuning experience
• Willingness to learn new technologies quickly
• Superior oral and written communication skills as well as the willingness to collaborate across teams of internal and external technical staff business analysts software support and operations staff
• Strong business acumen including a broad understanding of Synchrony Financial business processes and practices

Preferred Certification (atleast 1)

• Google Professional Machine Learning Engineer
• NVIDIA Certified Professional - Agentic AI (NCP-AAI)