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Intern Data Engineer

External
artefact logoArtefact · The Roof, Room 201, Building D, No. 458 Madang Road, Huangpu District, Shanghai 200002
Full-timeOn-site2mo ago30+ days old, may be filled
BigQueryHadoopJavaScriptKafkaLinuxMachine Learning
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Responsibilities

  • As a Data Engineer Intern, your role will encompass:
  • Supporting to conduct ambitious projects in the transformation of clients through data
  • Collaborating with the consulting and data team to provide comprehensive services to clients
  • Using your technical abilities to assist in the transformation of clients' marketing department
  • Among your responsibilities as a Data Engineer Intern, you will be responsible for:
  • Help securing delivery on projects with Data Engineer
  • Communicating the success of projects among the company
  • Working closely with your Consulting counterpart to build and maintain strong relationships with your clients and best understand their needs
  • Ensuring that your solutions are bringing values to the client problematic
  • Being a good team player, knowing your role and responsibility in the global ambition
  • Caring for the happiness of the team, ensuring work is delivered to a high standard and providing feedback and mentoring
  • Being a great tech person
  • Demonstrating the skill and credibility required to ensure the success of our clients' initiatives
  • Researching and developing new technical approaches to address problems efficiently
  • Sharing best practices and contributing to Artefact's institutional knowledge
  • Embodying Artefact's values and inspiring others to do the same
  • Experience working with Big Data technologies such as Hadoop, Spark, Kafka...
  • Delivering Data Lake / Big Data projects including (data ingestion, machine learning model application, code deployment)
  • Being able to adapt your solutions and approaches to technical environment (security, access, tools)
  • Qualifications :Education and Experience
  • Bachelor's degree in Software Engineering, Computer Engineering, or related fields
  • Solid knowledge of computer science, data processing and data architecture
  • Intellectual curiosity and excellent problem-solving skills, including the ability to structure and prioritise an approach for maximum impact
  • Skills in Python, Linux, SQL, Spark, Hive
  • BigQuery/ Redshift, Devops and Javascript is a plus

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