Deadline: As soon as possible
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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