Data Engineer Job in Kenya

Responsibilities  

Data Modelling and Extract, Transform and Load (ETL):

Design and implement robust data models to support analytics and reporting requirements.

Develop and maintain scalable ETL processes from various sources, including multiple ERP systems, into a data warehouse. 

Data Ingestion and Automation data pipelines

Implement data validation and quality checks to ensure accuracy and completeness.

Design, build, and maintain automated data pipelines to streamline data processing and transformation.

Utilize orchestration tools to schedule and monitor pipeline workflows.

Collaborate with data analysts to understand data requirements and support their analysis needs.

Optimize data structures and queries to enhance performance and usability for analytical purposes.

Data Warehousing


Design and optimize data warehousing solutions to support business intelligence and analytics needs.

Implement data modelling techniques to organize and structure data for optimal querying and analysis.

Optimization and Performance Tuning of Data Dashboards

Troubleshooting and fixing issues on existing reports/dashboards while also continuously building improvements.

Optimize dashboard performance and ensure responsiveness for large datasets and complex queries.

Design, Data Visualization and Dashboards

Experience

5+ years of industry experience working on data engineering with a focus on data ingestion, data warehousing, pipeline automation, and ETL development

Experience building infrastructure to support streaming or offline data. 

Extensive programming experience in Python/Scala/Java 

Experience with SQL in addition to one or more of Spark/Hadoop/Hive/HDFS 

Working knowledge of databases, data systems, and analytics solutions, including proficiency in SQL, NoSQL, Java, Spark and Amazon Redshift  for reporting and dashboard building.

Experience with implementing unit and integration testing. 

Ability to gather requirements and communicate with stakeholders across data, software, and platform teams. 

Ability to develop a strategic vision for data pipelining and infrastructure. 

Experience managing a team of mid-level engineers. 

Sense of adventure and willingness to dive in, think big, and execute with a team 

Qualifications

Bachelors or master’s in computer science, machine learning, or related field 

Language(s):  

English 

French is a plus. 

Technology

Python, Java, SQL, NoSQL, Amazon Redshift, Kafka, Apache Beam, Apache Airflow, Apache Spark

How To Apply

Click here to apply