Data Engineer
Job summary
Applications are invited from qualified persons for the above vacant position.
Work Type:
Full Time
Job descriptions & requirements
Are you looking for an employer who promotes individual excellence and mutual respect in a team-driven culture with a key focus on social empowerment?
The Co-operative Bank of Kenya, “The Kingdom bank” is the place for those looking to new horizons.
We seek a fearless inventor with an artistic streak who can find creative solutions to tough problems and sculpt brilliant strategies from a mountain of data, someone who can create the digital equivalent of Mona Lisa with only an algorithm and a smile.
We seek a fearless inventor with an artistic streak who can find creative solutions to tough problems and sculpt brilliant strategies from a mountain of data, someone who can create the digital equivalent of Mona Lisa with only an algorithm and a smile.
Reporting to the Head - Advanced Analytics, the Data Engineer will be responsible for developing, maintaining, testing, evaluating and implementing data solutions and data architecture design.
The Role
The Role
Specifically, the successful jobholder will be required to:
- Implement data architecture design, perform any restructuring required, and review dataset implementations performed by other data engineers.
- Design, create, interpret and manage large datasets to achieve business goals as well ad Process and update third party data sources.
- Design, build, and maintain various parts of the data warehousing and reporting infrastructure, including requirements gathering, ETL development, data modeling, metric establishment, reporting production, and data visualization.
- Gather and process raw, unstructured data at scale (including writing scripts, web scraping, calling APIs, writing SQL queries, etc). Into a form suitable for analysis then consolidate into the data warehouse in order to perform Business Intelligence and advanced analysis.
- Conduct performance tuning to be able to optimize the application of data across all layers.
- Evaluate datasets for accuracy and quality using statistical data quality procedures, software, or test-driven approaches that ensure quality assurance and solve any issues which may arise.
- Perform data updates, indexing, and maintenance in application database; as well as maintain data files in both hard copy and electronic versions.
- Improve data foundational procedures, guidelines and standards and develop best practices for data management, maintenance, reporting and security.
- Work with Business Customers to understand business requirements and implement solutions and with business owners to develop key business questions and to build datasets that answer those questions.
- Help implement data management projects and support business decisions with ad hoc analysis when needed.
- Provide self-serve analytical solutions to users to analyze medium to large datasets and run mathematical models without need of IT resources.
Skills, Competencies and Experience
The successful candidate will be required to have the following skills and competencies:
- Bachelor’s degree in computer science or software engineering from a recognized university.
- 3 to 5 years of applied data experience.
- Expert knowledge in different (NoSQL or RDBMS) databases such as MongoDB or Redis.
- Experience with Data warehousing architecture and data modeling best practices, including performance tuning techniques.
- Exposure to one or more ETL tools and a solid understanding of ETL pipelines, including functional testing and data source alerting.
- Advanced skills in a scripting language such as Python/Java/Scala with ability to tune Hadoop solutions to improve performance and end-user experience
- Excellent Problem solving skills with passion for leveraging data to drive significant business impact.
If you fit the profile, then apply today!
Please forward your application enclosing detailed Curriculum Vitae indicating the job reference number DE/1/HRD/2015 as the subject of your email by 16th November, 2015.
We are an equal opportunity employer.
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