Senior Engineer

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities.

Where you can make a difference. Where no two days arethe same.

Location
This is a remote position in Canada.

About the job you’re considering
We are seeking a highly skilled Software Engineer with strong expertise in Apache, SQL, Python, Scala, Hive, and Parquet to build and maintain large-scale data processing solutions. The ideal candidate will have experience developing distributed data applications, optimizing big data workloads, and building reliable data pipelines that support analytics, reporting, and machine learning initiatives.

Your Role

Design, develop, and maintain scalable data processing applications using Apache and SQL.

Build high-performance ETL and data transformation pipelines using Python and Scala.

Develop and optimize batch and near-real-time data processing workflows.

Work with large-scale data sets stored in Parquet, Hive, and distributed storage systems.

Write efficient SQL queries and optimize execution plans for performance and scalability.

Design data models, partitioning strategies, and storage layouts to improve processing efficiency.

Collaborate with Data Engineers, Software Engineers, Data Scientists, and Product Teams to deliver data-driven solutions.

Implement automated testing, monitoring, and deployment processes for data applications.

Ensure data quality, reliability, security, and governance standards are met.

Your skills and experience

Bachelor’s or master’s degree in computer science, Engineering, or a related technical field.

5+ years of professional software engineering or data engineering experience.

Strong hands-on experience with:
Apache /SQL/Python/Scala.

Experience building distributed data processing applications.

Strong understanding of Hadoop ecosystem technologies, including:
Hive/Parquet/HDFS

Experience developing and optimizing ETL pipelines processing large-scale datasets.

Strong SQL programming and query optimization skills, familiarity with Linux environments and shell scripting.

Experience using version control systems such as Git.

Preferred qualifications include experience with AWS cloud platforms, distributed computing and large-scale data architecture, Airflow orchestration, data lake and lakehouse environments, data storage formats such

The base compensation range for this role in the posted location is: $72,056- $138,940/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…