Artefact - Data intern

Deadline: As soon as possible

Internships

Companies

Location(s)

  • Singapore
Singapore

Overview

Artefact transforms data into value and business impact.

Details

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:

Involving data projects

  • 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)

Opportunity is About


Eligibility

Candidates should be from:


Description of Ideal Candidate

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

Dates

Deadline: As soon as possible


Cost/funding for participants

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