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

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