Summary from listing
Capgemini is hiring a Data Engineer to design, develop, and maintain data pipelines and ETL/ELT workflows using Apache Airflow, Databricks, PySpark, Snowflake, and SQL. The role also includes technical design, code reviews, performance tuning, production support, cross-functional collaboration, and mentoring. Candidates need 10–12+ years of data engineering experience, production support experience in a rotational-shift environment, and familiarity with Agile, Git, and CI/CD. The base compensation range is 98,890–140,720, with medical, dental, and vision coverage available in the United States and Canada.
