Capgemini
Greater London / Global
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Greater London / Global
We are seeking a highly experienced Data Engineer ( Hadoop / Spark / Scala / Python) to join our Financial Services Data Practice. You will have deep hands‑on expertise in Hadoop, Spark, Scala, Python.
The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home.
Your Role
Design and develop Hadoop based applications and data pipelines
Build operate monitor and troubleshoot Hadoop clusters
Write scalable ETL processes using tools like Hive Pig and Spark
Develop and maintain data ingestion processes using Sqoop Flume or Kafka
Optimize MapReduce jobs and manage HDFS storage
Collaborate with data scientists and analysts to support data needs
Ensure data security and compliance with organizational policies
Create and maintain technical documentation and playbooks
Evaluate and integrate cloud based big data solutions AWS GCP Azure
Your Skills
Data/software engineering experience with deep expertise in Spark, Scala, and Python.
Strong background in designing large‑scale ETL/ELT workflows and distributed compute optimization.
We are a Disability Confident Employer
Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government’s Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who:
Declare they have a disability, and
Meet the minimum essential criteria for the role.
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