[Hiring] Senior Engineer @Capgemini

Role Description

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.

• 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.

Qualifications

• 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.

Requirements

• 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 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.
• 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.

Benefits

• 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.