Posted:Jan 28
By:Hiring Kenya
Company Details
Industry:
Non-Profit Organization Management
Description:
Every day 8,000 children die and 2 billion people suffer from preventable illnesses because their diets lack basic vitamins and minerals. Sanku has the solution. Our vision: a world where everyone, everywhere, has guaranteed, affordable access to the nutrients they need to survive and thrive. Billions of people rely on small flour mills for their daily food. Empowering these mills to add lifesaving micronutrients to their flour could end malnutrition forever. Our award-winning technology makes adding nutrients into flour simple. Our innovative business model incentivises millers by neutralising the cost of the added nutrients. Because of Sanku, millers can produce quality nutritious flour, and families can access affordable healthy food every day. Sanku's work has received international recognition from the Rolex Awards for Enterprise, the Mulago Foundation, Givewell, The Life You Can Save, The Barry and Marie Lipman Prize, The Elevate Prize, The Million Lives Club, Fast Company, The Zayed Sustainability Prize, Time Magazine and the New York Times. We have a plan to reach 100M in East Africa by 2030, which will prevent millions from death and disease, boost productivity, and save billions of dollars in GDP. Our mission: Guarantee that every meal consumed by every mother & child contains vital nutrients, forever.
Job Description
As our Data Engineer, you’ll be a crucial force driving the design, development, and optimization of data infrastructure. This isn’t just a job, it’s an opportunity to shape meaningful change by building reliable data pipelines and systems that enable better decision-making, program monitoring, and impact measurement. You’ll collaborate with a passionate team to deliver solutions that directly improve lives and accelerate our mission.
How You’ll Deliver Impact
- Monitor and maintain robust data pipelines on AWS, using Apache Airflow, SQL and Python to build, optimize, and automate ETL processes.
- Use CloudWatch and other tools to track performance, debug issues, and ensure continuous data flow and system reliability.
- Manage and optimize SQL databases, including writing, testing, and documenting scripts for operational metrics and reporting.
- Validate and clean extracted data using automated processes and custom algorithms to ensure accuracy and consistency.
- Collaborate with Data Scientists and Analysts to support data-driven strategies and resolve technical data pipeline issues.
- Identify and recommend system improvements to meet evolving data needs and support cross-functional teams effectively.
- Administer data governance processes, defining metadata standards and maintaining data clarity across systems.
- Ensure data quality, integrity, privacy, and compliance with applicable data protection regulations.
What We Are Looking For
- Minimum of 5 years of progressive experience in data engineering, especially in large scale and complex FMCG data environments.
- Bachelor’s Degree in Computer Science, Data Science, Engineering or a related field.
- Demonstrated ability to build scalable data models and data pipelines.
- Familiarity with big data tools and environments, coupled with strong problem-solving skills and analytical thinking.
- Proficiency in the Data stack: AWS Ecosystem (S3, RDS, EC2, VPC etc), SQL, Apache Airflow, CloudWatch, REST APIs, Postman, Python, Git & GitHub, Scripting, etc.
Salary: Discuss During Interview
Education: Diploma
Employment Type: Full Time
