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Intern Data Engineer

Artefact · The Roof

Data Science / AI / Machine LearningEntry LevelExternal listinginternship24 days ago

About The Role

What you will be doing

Key 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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