Data Warehouse Engineer Job Milwaukee area,Wisconsin USA,IT/Tech

Get AI-powered advice on this job and more exclusive features.

Summary: Develop core versions of software applications for sale to external clients. Identifies client purchasing requirements and technical specifications through Product Management and/or client representatives. Interacts with engineering groups to assist in design changes to equipment and/or software. Trains and communicates with clients on systems application.

Essential Duties and Responsibilities:

Analyze, design, program, debug, and modify software enhancements and/or new products used in local, networked, or Internet-related applications.

Interact with product managers and/or users to define system requirements and necessary modifications.

Generate reports using Power BI, Business Objects, or similar tools.

Participate in software design meetings and analyze user needs to determine technical requirements.

Write technical specifications based on conceptual design and stated business requirements.

Write code, complete programming tasks, and perform testing/debugging using modern programming languages and technologies.

Train and communicate with Client Training, Client Relationship, and Sales teams on system applications.

Develop or execute project plans and schedules while documenting work and results.

Deliver informational and decision-seeking presentations to technical and business groups, both internally and externally.

Qualifications:

A Bachelors 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 Git Hub, 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.

Strong SQL skills, including writing and analyzing complex queries and stored procedures.

Proficiency in Power BI, SAP Business Objects, or similar reporting tools.

Understanding of software testing concepts.

Familiarity with Data Warehouse and ETL processing tools (e.g., IBM Data Stage, Databricks, Data Builder Tool).

Knowledge of Snowflake (or alternatives like Azure One Lake).

Ability to work with No

SQL databases such as Mongo

DB.

In-depth knowledge of design patterns and their practical application.

Must have requirements:

SQL, PL/SQL
Data Warehouse ETL/ELT
Python
PowerBI
Snowflake
No

SQL Databases
Financial industry practices

Seniority level

Mid-Senior level

Employment type

Contract

Job function

Apply BELOW


Increase/decrease your Search Radius (miles)



Job Posting Language