Senior Data Engineer

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 Summary We are seeking an experienced Data Engineer with strong expertise in Databricks, Apache Airflow, Python, and PySpark to design, build, and maintain scalable, high-performance data solutions. The ideal candidate will be responsible for developing efficient data pipelines, orchestrating workflows, and ensuring the reliability and quality of data systems that support analytics and business operations.

Key Responsibilities Design, develop, and maintain scalable ETL/ELT data pipelines using Python and PySpark Build and manage workflow orchestration using Apache Airflow Develop and optimize data processing solutions on Databricks, leveraging Spark and Delta Lake Perform data ingestion from multiple sources (databases, APIs, files, cloud systems) Implement data transformations, cleansing, and aggregation to support downstream analytics Monitor, troubleshoot, and resolve job failures and performance issues Optimize jobs for performance, scalability, and cost efficiency Ensure data quality, consistency, and governance across all pipelines Collaborate with data analysts, data scientists, and business stakeholders to deliver data solutions Maintain proper documentation for workflows, pipelines, and data models Support deployment processes and ensure smooth release of data solutions

Required

Skills & Qualifications Strong hands-on experience in Python programming Expertise in PySpark and Apache Spark for large-scale data processing

Experience with Apache Airflow for workflow scheduling and orchestration Practical experience in Databricks platform (notebooks, jobs, clusters, Delta Lake) Solid understanding of ETL/ELT concepts and data pipeline architecture Proficiency in SQL and working with relational and non-relational databases Experience working with cloud platforms (Azure preferred; AWS/GCP acceptable) Strong debugging and root cause analysis skills Familiarity with data modeling concepts Understanding of data security and governance best practices

Preferred Qualifications

Experience with Azure Data Factory, Azure Data Lake, or similar services Knowledge of CI/CD pipelines and Dev Ops practices Exposure to streaming technologies (Kafka, Spark Streaming, etc.)

Experience with version control tools (Git) Familiarity with monitoring tools and logging frameworks

Key Competencies Strong analytical and problem-solving skills Ability to work independently and take ownership Proactive approach in identifying and resolving issues Good communication and collaboration skills Ability to manage multiple tasks and priorities effectively

Job Description Data engineers are responsible for building reliable and scalable data infrastructure that enables organizations to derive meaningful insights, make data-driven decisions, and unlock the value of their data assets.

Job Description - Grade Specific The involves leading and managing a team of data engineers, overseeing data engineering projects, ensuring technical excellence, and fostering collaboration with stakeholders. They play a critical role in driving the success of data engineering initiatives and ensuring the delivery of reliable and high quality data solutions to support the organizations data driven objectives.

The base compensation range for this role in the posted location is $76,200 to $176,590.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…