Senior Software Engineer - Data Engineering & BI

Designs/develops software solutions requiring general domain knowledge and developing business experience.

Analyzes user requirements/needs and makes decisions within limited parameters under regular supervision.

Primary & Good to Have skills:

• Data Engineering & Integration: SQL, ETL, Data Warehousing, Data Modeling, Cloud Databases, Cloud Architecture. Good to have: Snowflake, Databricks, SSIS, Informatica, Talend, DataStage, PySpark, Hive, Cloudera, AWS, Azure, PL/SQL, Python, Model N
• Data Management: Master Data Management (MDM), Data Quality, Data Stewardship, Data Governance. Good to have: Reltio MDM, Informatica MDM, Data Governance (Collibra)
• Full Stack Engineering: .NET, Full Stack Development, REST API Development, Java. Good to have: Angular, React, Node.js, Spring Boot, Django, TypeScript, NestJS, .NET API, C#
• Analytics & BI: Reporting, Data Analysis, BI Development, Data Modeling. Good to have: Power BI, Tableau, Qlik Sense, DAX

Years of Experience:

• Grade 130 - 2 to 4 years
• Grade 140 - 5 to 7 years
• Grade 150 - 8 to 12 years

Essential Functions:

• Designs/develops software solutions requiring general domain knowledge and developing business experience.
• Works at all layers of the application stack including front-end user interface and backend development.
• Analyzes user requirements/needs and makes decisions within limited parameters under regular supervision.
• Supports and may lead projects within own organization with limited complexity, including the development of small to medium size system components.
• Has broad understanding of quality standards and work requires minimal revision.
• Reviews functional specifications and other validation deliverables as assigned.
• Provides peer support and helps onboard new Associate Software Engineers to the team.

Qualifications:

• Bachelor's Degree in Computer Science, a related field, or equivalent experience