Summary from listing
Capgemini is hiring a Senior Data Engineer to join scrum teams and develop functional and system-level Hadoop applications for an Enterprise Data Lake initiative. The role involves agile development, requirements translation, code reviews, project planning, performance tuning, and building real-time analytic applications using AWS, Kafka, PySpark/Spark, Hadoop, Shell Scripting, SQL, and Git. Candidates need a bachelor's degree in a quantitative field, at least nine years of experience, five years of big-data development experience, and hands-on experience with the listed technologies and programming languages.
