Job Description

ABOUT THE ROLE

The Harambee Software Development team is looking for an exceptional

Data Engineer

to join their dynamic team based in Johannesburg. The Data Engineering role's objective is collecting, storing and processing large sets of data, with the primary goal of providing optimal solutions to use and of course the implementation, improvement, and monitoring thereof. The Data Engineer is also responsible to

partner with the Head of Data

on

database design and strategy

to enable Harambee's future strategy and technology roadmap. Furthermore, the

Data Engineer

will be doing all that in an organisation that changes lives and has a culture of teamwork, openness and collaboration. If this prospect excites you, then you may be the person we are looking for.

The Technical Challenge

Harambee is building a ground-breaking, scalable, future-fit technology platform that changes lives by helping young first-time work-seekers find jobs and work experiences. Our technology needs to cater for the unique, personalised employment journey of each workseeker - ultimately using the power of big data to help them find their first job. We run an Agile Development Programme in a DevOps infrastructure and culture. Our cloud-native technology stack is predominantly hosted in Google Cloud Platform with services written in .Net Core and Python. The data landscape includes MYSQL, Big Query and Composer. This technology stack is currently being revised to drive a strategy of simplification, business user enablement and data integrity. Google did a case study on us. READ IT (https://cloud.google.com/customers/harambee/)

JOB DESCRIPTION

You will work as a technical specialist, aiding your colleagues in the creation, maintenance and use of the data stack.

1. Planning and strategy:


a. Engage with various stakeholders to understand the business and data goals in



context of Harambee's strategy and vision.



b. Design data solutions for real-time and batch environments.



c. Document the planning, implementation and operation of the data platform.



d. Select and integrate any big data tools and frameworks required to enable the



business and data analysis goals.



e. Work closely with the data analyst, testers, developers and business analysts to



design and ensure delivery of data requirements.



2. Execution:


a. Assist with and advise on the data platform and it's use, including data analysis,



security, architecture and modelling.



b. Ensure effective infrastructure for processing large volumes of transactional data.



c. Implement data retention policies.



d. Monitor performance and advise on necessary infrastructure changes.



e. Work with platform developers to ensure seamless and optimal data ingestion.



f. Build data structures and pipelines that ensure the storage and transformation of



data.



g. Work with the data analysts to ensure necessary and accurate data is available for



downstream use.



3. Support


a. Support other teams with ad hoc data analysis to derive business insights.


b. Support the Data analysis and Business Intelligence team on data validation and



quality assurance to ensure accurate dashboards and reports.

MINIMUM REQUIREMENTS

Degree or diploma in Science or Engineering (Mathematics, Statistics, Computer Science


or related field).


Minimum 5-8 years' experience as a Data Engineer.

Knowledge of and use with data tools and languages. Exceptional data skills:


o SQL proficiency



o Document stores



o Realtime and batch processing



o Models and relationships


Large scale ETL (Apache beam or Apache spark, SSIS) Cloud experience (Google Cloud Platform, Azure, or AWS) Python MySQL R (nice to have) Has worked at a company of similar size and complexity to Harambee over the past 24


months.


Importantly, you must fit with the Harambee culture, be passionate about our mission and


be an individual who leaves things better than you found them.


Keen to work for purpose and be inspired by the bigger social problem we want to solve.


Keen to learn and grow.

COMPETENCIES

Curiosity and drive to understand, improve and deliver.

Proven track record of quality delivery.

Comfortable explaining data models, data structures and analytical findings to technical


and non-technical audiences.


Willingness to learn.

A passion for knowledge sharing and upskilling other team members.

* Highly detail oriented.