Location: Nairobi, Kenya
About us
Our proprietary technology removes the technical and logistical barriers that exist when trading commodities in Africa. We provide the tools and the visibility to trade commodities into, out of, and with Africa with confidence.
About the role
As a Data Engineer at Kulea, you will play a pivotal role in extracting, cleaning, and transforming relevant data to solve integrated customer experience challenges through analysis, modeling, and reporting.
Job Description
Responsibilities:
- Data Preparation: Extract, clean, and transform data to make it suitable for analysis, ensuring data quality and consistency.
- Continuous Learning: Proactively enhance your data science skills, focusing on problem-solving, writing efficient and readable code, mastering integrated customer experience data, and anticipating customer and data-related product needs.
- Problem Framing: Translate business requirements and objectives into concise data science problems, aligning data solutions with organizational goals.
- Effective Communication: Collaborate with other team members, ensuring clear and effective communication, regardless of seniority, to achieve project objectives.
- Goal Achievement: Work closely with the research and engineering teams to ensure the successful accomplishment of company objectives and goals.
Skills:
- Strong Data Expertise: Demonstrated proficiency in statistical and data mining techniques, enabling you to extract valuable insights from data.
- Database Proficiency: Proficient in working with relational database management systems (RDBMS) and querying databases using SQL.
- Knowledge of cloud computing, e.g., AWS, Google Cloud, and Microsoft Azure.
- A background in pipeline development using technologies such as Apache Airflow, Apache Spark, Databricks, etc.
- Ability to set up machine learning platforms for data processing.
- Expertise in statistical analysis, computing, machine learning, and deep learning.
- Experience working with large datasets and the ability to process them efficiently.
- Strong data wrangling skills.
- Data Visualization: Exceptional data visualization skills using tools such as MS Excel, PowerBI, or other statistical software to communicate insights effectively.
- Statistical Languages: Proficiency in using statistical languages such as R and Python for data analysis and modeling would be an added advantage.
Education and Experience
- University degree in data engineering, statistics, data science, actuarial science, economics, mathematics, and related fields.
- Minimum 2 years of experience in a similar or related role.
- Candidates with a Diploma or Higher National Diploma with vast experience in a similar role will be considered.
Join Kulea and be part of a dynamic team dedicated to leveraging data to drive exceptional customer experiences. We are excited to welcome individuals passionate about data engineering and eager to contribute to our mission.
To apply please send an up-to-date CV and a brief cover letter outlining your skills, relevant experience, and why you think you would be a good fit for the role using the link below.
Deadline: November 14 2023