Data Engineer Job CrossBoundary
Looking for an IT or data engineering job? CrossBoundary is recruiting a Data Engineer. Based in Nairobi, the role requires a degree in a quantitative field and experience building data pipelines and managing database architectures.
Job Overview
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
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