Data Engineer

Data Engineer- Hybrid in Milwaukee, WI

12 month contract

Job-Specific Details:
What this position will be supporting: Business Objects Replacement
Must have requirements:
- SQL, PL/SQL,
- Data Warehouse ETL/ELT
- CI/CD Pipelines (GitHub, Jenkins, Harness)
- Python
- PowerBI
- Snowflake
- NoSQL Databases
- Financial industry practices

Work schedule: 8AM-5PM Central Time
Interview process: 3 rounds Hiring Manager, Director, VP

Qualifications: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skills, and/or abilities required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
A Bachelor s degree in computer engineering, computer science or other related discipline or the equivalent combination of education, training, or work experience.
3 years of experience in Data Warehouse, ETL/ELT, and Cloud projects.
Hands-on experience with CI/CD Pipelines using tools such as GitHub, Jenkins, Harness, etc.
Strong understanding of end-to-end systems development life cycles and standards.
Financial industry knowledge, including practices, regulations, and operations.
Ability to interpret and design sequence diagrams, class models, and architectural frameworks.
Expertise in solution design and requirements definition disciplines.
Strong SQL skills, including writing and analyzing complex queries and stored procedures.
Proficiency in Power BI, SAP BusinessObjects, or similar reporting tools.
Python programming proficiency.
Understanding of software testing concepts.
Familiarity with Data Warehouse and ETL processing tools (e.g., IBM DataStage, Databricks, Data Builder Tool).
Knowledge of Snowflake (or alternatives like Azure OneLake).
Ability to work with NoSQL databases such as MongoDB.
In-depth knowledge of design patterns and their practical application.