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Capgemini is looking Big Data Developer who has experience with Hadoop, Python, and Spark.
Roles And Responsibilities:
Big Data (Hadoop, Spark, Python, Gremlin), ETL (Ab initio), Database (SQL Server, Oracle, Hive, Impala), Linux developer responsible for good design, build of the ETL/Data delivery, Machine Learning code. Design good code from the point of view of performance, reuse and supportability, consistent with best practices and with appropriate documentation.
Experience as a senior big data developer (5 yr) with a proven record of multiple successful deliveries.
Experience with Hadoop (3yr), Python (3yr), Spark (2yr).
Experience in UNIX(3yr), Autosys(2 yr), and Java(2 yr).
Excellent analytical skills and financial business knowledge.
Job Experience: 4-6years
Big Data Developer
With more than 190,000 people, Capgemini is present in over 40 countries and celebrates its 50th Anniversary year in 2017. A global leader in consulting, technology and outsourcing services, the Group reported 2016 global revenues of EUR 12.5 billion.
Together with its clients, Capgemini creates and delivers business, technology and digital solutions that fit their needs, enabling them to achieve innovation and competitiveness. A deeply multicultural organization, Capgemini has developed its own way of working, the Collaborative Business ExperienceTM, and draws on Rightshore®, its worldwide delivery model.