Vacancy title:
Senior Data Engineer

[ Type: FULL TIME , Industry: Telecommunications , Category: Computer & IT ]

Jobs at:

KOKO Networks

Deadline of this Job:
14 December 2022  

Duty Station:
Within Kenya , Nairobi , East Africa

Summary
Date Posted: Monday, December 05, 2022 , Base Salary: Not Disclosed

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JOB DETAILS:
Senior Data Engineer

What you will do
• Design, implement and support KOKO’s data infrastructure
• Design and implement ETL pipelines, selecting the most appropriate tools and products in collaboration with KOKO’s analytics, product and engineering teams
• Build logical and understandable data models and data stores to house data from KOKO’s various live products and other diverse data sources for consumption by other teams
• Build systems to track data quality and consistency, ensuring that our data is accurate & up to date
• Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service use of KOKO’s data (create tools that assist teams in this process).
• Keep our data secure across national boundaries through multiple data centers and AWS regions
• As the team grows, help recruit and manage additional data engineers
• Represent the Data Engineering discipline during sprint planning meetings and retrospectives
• Help build the engineering culture at KOKO, attracting similar minded people with a passion for using technology to tackle hard challenges

What You Will Bring to KOKO
• At least three years experience in software development, data engineering, business intelligence, data science, or a related field
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• A track record of manipulating, processing, and extracting value from large datasets
• Demonstrated strength in data modeling, ETL development and optimisation, and data warehousing
• Experience working with big data technologies (preferably within AWS)
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
• Strong analytic skills related to working with unstructured datasets
• Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations
• Strong initiative, project management and organizational skills
• Strong communicator, both written and verbal, who is calm and decisive under pressure
• Proactive approach to knowledge sharing and developing best practices
• Strong experience taking part in sprints, being involved in planning, retrospectives and estimations with cross-functional teams


Work Hours: 8

Experience in Months: 36

Level of Education: Bachelor Degree

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