Job Overview
- Our client is in a dynamic phase
of growth and development. The successful candidate will have the
opportunity to shape the future of cloud solutions in Africa and
contribute to the success of the company Solutions as a premier technology
provider. We rely on powerfully insightful data to inform our systems and
solutions, and we’re seeking an experienced pipeline-centric data engineer
to put it to good use. The ideal candidate will have the expected
mathematical and statistical expertise combined with a rare curiosity and
creativity. This person will wear many hats in the role, including
identifying business problems and translating these to data services and
engineering outcomes. You will deliver data solutions that empower better
decision-making and flexibility of your solution that scales to respond to
broader business questions both internally and externally.
Responsibilities
- Building and maintaining data
warehouses, setting up pipelines, and deploying models while ensuring data
is securely and readily available to internal and external
stakeholders(e.g. using modern data warehousing and database architecture)
- Identifying, designing, and
implementing internal process improvements, including re-designing
infrastructure for greater scalability, optimizing data delivery, and
automating manual processes.
- Build the infrastructure required
for optimal extraction, transformation, and loading of data from a wide
variety of data sources using SQL, Looker, and BigQuery.
- Work with data and technology
while assisting with data-related technical issues and supporting data
infrastructure needs while ensuring compliance with data governance and
security policies.
- Provide assistance with the
development and management of continuous integration, continuous delivery,
and continuous testing pipelines for machine learning and other model
iterations for customers.
- Maintain comprehensive
documentation for data engineering processes, workflows, and solutions.
- Analyze large datasets to
identify trends, patterns, and correlations relevant to our clients’
business objectives.
- Develop and maintain data models,
algorithms, and statistical analyses to support decision-making processes.
- Collaborate with cross-functional
teams to gather requirements and define data-driven solutions.
- Design and implement data
visualization dashboards and reports to communicate findings effectively.
- Perform data cleansing,
transformation, and validation to ensure data accuracy and consistency.
- Stay current with industry trends
and best practices in data analysis, cloud computing, and related
technologies.
- Support ongoing data-related
projects and initiatives, including data migration, integration, and
optimization efforts.
Education and experience:
- Bachelor’s degree in Computer
Science, Data Science, Statistics, or a related field.
- 2+ years of experience building
and maintaining early-stage data warehouses, setting up pipelines, and
modeling analytical data (e.g. using modern data warehousing and database
architecture principles).
- Understanding of the ETL cycle.
- Experience with data pipeline and
workflow management tools: Azkaban, Luigi, Airflow
- Experience performing root cause
analysis on internal and external data and processes to answer specific
business questions and identify opportunities for improvement.
- Knowledge of the data modeling
lifecycle and an appreciation of the importance of metadata.
- Proficient in programming
Languages such as Python SQL is a must, Java or Scala
- Experience (or a strong interest
in) collaborating with sales and customer success teams to design and
implement scalable infrastructures for different types of structured and
unstructured data.
- Familiarity with big data
technologies (e.g., Hadoop, Spark) is a plus
- Strong analytical and
problem-solving skills, with a keen attention to detail.
- Experience with data
visualization tools such as Looker Studio, Tableau, Power BI, or D3.js.
Familiarity with cloud platforms and services, such as AWS, Azure,
or Google Cloud Platform.
- Strong project management and
organizational skills.
- Experience supporting and working
with cross-functional teams in a dynamic environment
Additional
Requirements:
- Passion for staying current with
emerging technologies and industry trends.
- Results-oriented with a focus on
achieving strategic goals and objectives.
- Excellent communication and
interpersonal skills, with the ability to collaborate effectively with
team members and stakeholders.
- Ability to work independently and
prioritize tasks in a fast-paced environment.
- Knowledge of machine learning
concepts and techniques is a plus
How To Apply
If you are up to the challenge, possess the necessary
qualifications and experience, kindly send your detailed CV quoting the job
title on the email subject
- “SENIOR
RESEARCHER AND PIR CURATOR” to: talent@workforceafrica.co by
or before 13th March 2024
- “Data Engineer” to: talent@workforceafrica.co by
or before 13th March 2024