Data Engineer Data Engineer …

Capgemini
in Singapore
Permanent, Full time
Last application, 20 Sep 21
50000-90000
Capgemini
in Singapore
Permanent, Full time
Last application, 20 Sep 21
50000-90000
Posted by:
Jessica Ng • Recruiter
Posted by:
Jessica Ng
Recruiter
Present at the IT division, he supports the data science activities. Their main objectives will be to build infra and platforms for analytics capabilities (including Machine/deep Learning). He/she helps the data scientists on data analytics and data lineage feature.

 

Roles & Responsibilities.

Activities:
• Industrialize data integration, data cleansing, data analytics programs or data management processes.
• Liaise with the Data Scientists, Architects, software developers, and business experts to understand how data needs to be converted, loaded, processed and presented.
• Help the Data Architect to create an overview of the Data Lineage (from data flows, data transformations inside applications).

• Technical: Strong development skills - languages will depends on the entity but mainly python and Scala, Big Data experience (Spark, Hadoop Suite) Experience in Git, continuous integration and delivery.
• Awareness on Data Management practices, including Data Lifecycle Management across Core IT & Big Data ecosystems as well as Data Privacy & Security constraints.
• Focus on end user and customer centricity, Strong oral and written communication skills, Passion for learning new tools, languages and frameworks, Fast adaptation to changing requirements, Strong problem-solving skills, able to work with minimal direct guidance, self-motivated and proactive, in a collaborative model, side by side with the business, Practical, hands on approach to get results.

 

 

Skillset Requirements

  • Junior level 1 to 3 years of experience
  • Kafka (primary)
  • Scality S3 (primary)
  • SQL Server
  • Apache Storm
  • Vyne (Vendor product solution from Notional)
  • Java, Spring Boot, Docker, STORM, MicroServices, Kafka/MQ, Agile
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