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Data Engineer
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Job Description: Data Engineer
Position: Data Engineer
Location: Onsite Milwaukee, WI (Locals Only)
Duration: 12+ Months
Required Skills:
The ideal candidate must possess the following mandatory skills and qualifications:
- Python: Strong proficiency in Python programming, including experience working with REST APIs.
- Cloud Experience: Proven experience working with cloud platforms, preferably Azure.
- CI/CD Exposure: Experience with Continuous Integration and Continuous Deployment (CI/CD) processes. Familiarity with tools like Terraform is highly desirable.
- SQL: Solid understanding and experience working with SQL queries for data manipulation, extraction, and transformation.
- Data Engineer Experience: At least X years of professional experience working as a Data Engineer, implementing and maintaining data pipelines, ETL processes, and managing large datasets.
- Git: Proficiency with version control using Git for code management and collaboration.
Nice to Have:
In addition to the required skills, the following qualifications are beneficial but not mandatory:
- Databricks Experience: Hands-on experience with Databricks for big data processing and analytics.
- Metadata-Driven Architectures: Familiarity with working in metadata-driven architectures to build scalable and maintainable data systems.
- Web Development Experience: Experience in web development, particularly with Django, is a plus.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job Job Description: Data Engineer
Position: Data Engineer
Location: Onsite Milwaukee, WI (Locals Only)
Duration: 12+ Months
Required Skills:
The ideal candidate must possess the following mandatory skills and qualifications:
- Python: Strong proficiency in Python programming, including experience working with REST APIs.
- Cloud Experience: Proven experience working with cloud platforms, preferably Azure.
- CI/CD Exposure: Experience with Continuous Integration and Continuous Deployment (CI/CD) processes. Familiarity with tools like Terraform is highly desirable.
- SQL: Solid understanding and experience working with SQL queries for data manipulation, extraction, and transformation.
- Data Engineer Experience: At least X years of professional experience working as a Data Engineer, implementing and maintaining data pipelines, ETL processes, and managing large datasets.
- Git: Proficiency with version control using Git for code management and collaboration.
Nice to Have:
In addition to the required skills, the following qualifications are beneficial but not mandatory:
- Databricks Experience: Hands-on experience with Databricks for big data processing and analytics.
- Metadata-Driven Architectures: Familiarity with working in metadata-driven architectures to build scalable and maintainable data systems.
- Web Development Experience: Experience in web development, particularly with Django, is a plus.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job