Job Description

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.

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.

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