Intern Data Engineer
The intern will assist Artefact’s consulting and data teams in delivering data transformation projects for client marketing departments. Responsibilities include supporting data engineering delivery, communicating project outcomes, and building client relationships.
Skills required
About this 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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