Intern Data Engineer

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