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上海市, 中国
Onsite
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
