Develop and support a wide range of data transformations and migrations
Construct custom ETL processes: Design and implementation of data pipelines and data marts, access versatile data sources, and apply data quality measures
Investigate data mismatches and apply solutions
Work side by side and support the Customer Success teams in order to meet customer business needs.
Interact with clients to understand business needs and collaborate on project scopes, planning, and execution.
Requirements:
You should be an active student for Industrial Engineering and Management or a similar major
2 full semesters to graduation
Ability to work 3 days a week or more.
Familiarity with databases and SQL
Outstanding technical and analytical skills
Highly motivated with an exceptional work ethic
High attention to detail with an ability to work on multiple projects simultaneously
Strong interpersonal and communication skills
Quick, self-learning capabilities and creativity in problem-solving
Preferred:
Familiarity with Python
Familiarity with Airflow, ETL tools, Snowflake and MSSQL