Data Warehouse Engineer

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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, BusinessObjects, 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 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.
• Strong SQL skills, including writing and analyzing complex queries and stored procedures.
• Proficiency in Power BI, SAP BusinessObjects, or similar reporting tools.
• 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.

Must have requirements:

• SQL, PL/SQL
• Data Warehouse ETL/ELT
• Python
• PowerBI
• Snowflake
• NoSQL Databases
• Financial industry practices

Seniority level

Mid-Senior level

Employment type

Contract

Job function

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