Job Title: Data Engineer Principal
Location: Oshkosh, WI
Zip Code: 54902
Pay Rate: $180k.
Keyword’s: #Oshkoshjobs; #DataEngineerjobs.
Start Date: Immediate

MINIMUM QUALIFICATIONS

• Bachelors degree with ten (10) or more years of experience in the field or in a related area
• Experience providing technical leadership/guidance and influencing other technology teams
• 4+ years of experience with Python in an analytics / data science environment, including source control systems (Git, SVN, or others).

PREFERRED QUALIFICATIONS

• Excellent communication and presentation skills
• Experience with CDC-based data ingestion solutions (Qilk Replicate, Striim, Debeezium, etc..)
• Familiarity with open-source data transformation tools such as dbt.
• Proven professional experience in data architecture and cloud data engineering.
• Deep understanding of Microsoft Azure services and cloud architecture.
• Experience with the Microsoft Azure Gov Cloud (GCC High) stack
• Experience with Databricks and Data Lake Architecture, as well as working with delta format and the Hive metastore.
• Experience with orchestration platforms such as Airlfow, Dagster, Luigi and others, as well as shell scripting for automation and process observability.
• Familiarity with data governance, data quality, and data security best practices.
• Master"s degree in Analytics, Computer Science, Engineering or MBA
• Prior technology leadership experience?
  Belcan is an equal opportunity employer. Your application and candidacy will not be considered based on race, colour, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws

• Collaborate with enterprise and domain engineers and architects to establish standardized patterns for cloud services within Microsoft Azure.
• Utilize infrastructure-as-code tools, such as Terraform, to design, deploy, and manage scalable cloud infrastructure.
• Develop and maintain reusable cloud service patterns that are accessible and user-friendly for internal teams focusing on delivering machine learning and AI-based analytics products.
• Design logical and physical data models for OLTP and OLAP systems using ER Studio and/or other data modeling tools.
• Assist in defining and enforcing data architecture standards, guidelines, and best practices across the organization.
• Ensure data models support business requirements, performance objectives, and scalability needs.
• Oversee the integration of new data technologies and tools into existing systems.
• Ensure all data solutions and cloud service patterns comply with internal cybersecurity policies and standards.
• Collaborate on security assessments and audits and implement recommendations to mitigate risks.