Data Engineer 3 days onsite each week
Duration: 12 months
Location: Columbus
Top 3 Skills:
1. Expert SQL
2. Experience Managing Complex Data Flows
3. Python
The project is implementing a new collections/fraud tool called Debt Manager. This person will be heavily involved in the implementation of the tool and migration of company data. Previous banking experience would be extremely helpful.
Job Description:
We are actively seeking a hands-on Data Engineer to join our team, specializing in managing complex data flows from source A to destination B. This role involves translating high-level input into detailed discovery processes and implementing solutions, predominantly in Python. The ideal candidate should possess broad development background with enhanced data and Python experience, scoring a 9 on SQL proficiency.
Key Responsibilities:
Manage intricate data flows, ensuring efficient movement from source to destination.
Perform detailed discovery based on higher-level input and implement solutions primarily using Python.
Demonstrate strong expertise in SQL (rated 9 on proficiency).
Work with package applications such as SAP, SQL, or any relevant tools.
Embrace continuous learning of new tools and technologies, including debt manager.
Banking knowledge is a plus.
Collaborate with a Columbus-based team in a hybrid work model (3 days per week in the office).
Potential transition to a war room concept.
Initial commitment of at least 9 months, likely extending through 2024.