Job Details
Job Location Global Holdings LLC - Tulsa, OK Position Type Full Time Education Level 4 Year Degree Salary Range $120,000.00 - $150,000.00Description
Global is seeking a highly motivated self-starter to join our Data Engineering team. This role involves the design, development, and ongoing enhancement of our enterprise data platform, with a focus on crafting robust data pipelines and maintaining an efficient data warehouse.
Responsibilities
- Quickly gain a comprehensive understanding of Global’s data landscape and architectural framework.
- Architect and deploy cutting-edge data infrastructure to strengthen analytical and reporting capabilities.
- Develop ELT/ETL processes for seamless data extraction and manipulation from diverse data sources.
- Oversee and enhance the data warehouse and pipelines, ensuring peak performance, reliability, and scalability.
- Implement data security measures and access controls across data platform.
- Collaborate with cross-functional teams to capture data requirements and implement tailored solutions that align with the existing architecture patterns.
- Develop and maintain data pipelines using Azure Data Factory (ADF).
- Manage and optimize data storage solutions in Snowflake.
- Write efficient, scalable, and reusable code in Python to handle data processing and transformation tasks.
Qualifications
Required Skills
- Strong understanding of data architecture principles and modern ETL methodologies.
- Experience working with cloud Data Warehouse technologies (e.g. Snowflake, Azure, etc.).
- Proficiency in SQL and experience with relational database systems.
- Working knowledge of cloud platforms (e.g. AWS, Azure, etc.).
- Strong proficiency in Python and experience with data-related Python libraries (e.g., Pandas, NumPy).
- Attention to detail with the capacity to operate autonomously and collaboratively across various teams.
Desired Skills
- Experience with designing and implementing data pipelines leveraging Azure Data Factory.
- Understanding of Snowflake’s data warehousing architecture and its capabilities.
- Experience in developing data warehouses optimized for advanced analytics and reporting.
- Familiarity with data modeling and data integration tools.
- Experience with other programming languages (e.g., Java, Scala) is a plus.
Qualifications
- 5-8 years of experience developing and maintaining data warehousing systems.
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related discipline.