Data Engineer Job CrossBoundary

IT Jobs, CrossBoundary Jobs.

The CrossBoundary Access team is a unique group of people who are excited to make a difference in some of the world’s most challenging and exciting renewable energy markets. Team members come from diverse backgrounds, but share a number of qualities: relentless curiosity, extreme ownership, a laser focus on results, and a bias for action. 

Who You Are 

• Self-starter who is passionate about creating lasting change in Africa 
• Pioneer who is excited to work with new technologies and innovations 
• Creative thinker with an ability to craft non-traditional and innovative solutions to practical problems 
• Can build strong relationships with clients and colleagues in stressful environments 
• Empathetic and thoughtful leader that can drive performance within a multi-disciplinary team 
• Comfortable with ambiguity; ability to operate effectively in a changing, challenging context 

Primary Responsibilities 

• Design and implement data extraction, transformation, and loading processes  
• Build and manage a centralized data repository to support business intelligence and machine learning applications  
• Utilize tools such as SQL, Python, and cloud-based data infrastructure platforms (AWS Redshift, Azure, Google Cloud) to maintain data pipelines  
• Apply data modeling principles to prepare datasets for analysis 
• Collaborate with the business users to deliver transparent and effective data analyses and solutions 
• Ensure high performance, availability, and quality of data systems through monitoring and optimization  
• Collaborate on data governance policies to ensure data compliance and security  
• Document and communicate data architecture and processes to Access leadership 

Qualifications 

Required skills and qualifications: 

• Bachelor’s degree or equivalent professional certification in computer science, data, or related field  
• 2-4+ years’ experience working in data engineering 
• Highly skilled in building and maintaining ELT processes for a range of complex data sources, including open-source APIs 
• Confident in designing and implementing industry-standard data modelling principles to prepare datasets for analysis  
• Experience working with data lake and/or Lakehouse data architectures  
• Highly skilled in SQL 
• Skilled in data warehousing – Kimball technology 
• Proficient at working with cloud-based data tools; preference for experience with Snowflake, dbt, and Azure Data Factory  
• Experience applying software engineering best practices and guidelines to analytics code and data model development   
• Strong interest in Microsoft stack technologies 
• Passion for learning new technologies and tools 
• Extremely curious and flexible 
• Strong presentation skills, ability to communicate clearly and effectively across diverse audiences  

The ideal candidate will also have the following skills and qualifications: 

• Python 
• dbt  
• Snowflake  
• Azure Data Factory  
• Microsoft Azure  
• Microsoft Dynamics  
• Ability to build strong relationships with partners and colleagues in challenging environments 
• Comfort with ambiguity and an ability to operate effectively in a changing context 
• French speaking 

How to Apply

Click here to apply