Data Engineer at

3 weeks ago

Nairobi, Nairobi Area, Kenya Workforce Africa Full time

Workforce Africa is a company in Africa dedicated to providing HR solutions and Human Resource Management services. Our MISSION is to drive Business Growth by making the most of Talent.

Job Overview

Our client is going through a period of growth and development. The chosen candidate will play a key role in shaping the future of cloud solutions in Africa and contributing to the success of the company as a leading technology provider. We need an experienced data engineer with a pipeline-centric approach to work with insightful data. This person will be responsible for identifying business issues and translating them into data solutions that enhance decision-making capabilities and adaptability.

Responsibilities
  • Build and maintain data warehouses, set up pipelines, and deploy models securely and efficiently for both internal and external stakeholders.
  • Identify and implement process improvements, optimize data delivery, and automate manual tasks.
  • Develop the infrastructure for efficient data extraction, transformation, and loading using SQL, Looker, and BigQuery.
  • Assist with data-related technical issues, support data infrastructure needs, and ensure compliance with data governance policies.
  • Create and manage continuous integration, delivery, and testing pipelines for machine learning and model iterations.
  • Document data engineering processes, workflows, and solutions thoroughly.
  • Analyze large datasets to reveal relevant trends and patterns for client objectives.
  • Design data models, algorithms, and statistical analyses to support decision-making.
  • Collaborate with teams to define data-driven solutions, create data visualization dashboards, and reports.
  • Perform data cleansing, transformation, and validation to ensure data accuracy.
  • Stay updated on industry trends and best practices in data analysis and cloud computing.
  • Support data-related projects, including migration, integration, and optimization efforts.
Requirements

Education and experience:

  • Bachelor's degree in Computer Science, Data Science, Statistics, or related field.
  • 2+ years of experience in building and maintaining data warehouses, setting up pipelines, and modeling analytical data.
  • Understanding of the ETL cycle.
  • Experience with data pipeline and workflow management tools such as Azkaban, Luigi, Airflow.
  • Proficiency in programming languages like Python and SQL, with knowledge of Java or Scala.
  • Experience collaborating with sales and customer success teams to design scalable data infrastructures.
  • Familiarity with big data technologies like Hadoop and Spark.
  • Strong analytical and problem-solving skills with attention to detail.
  • Experience with data visualization tools such as Looker Studio, Tableau, Power BI.
  • Familiarity with cloud platforms like AWS, Azure, Google Cloud Platform.
  • Project management and organizational skills.
  • Experience working with cross-functional teams.

Additional Requirements:

  • Passion for staying updated on emerging technologies and industry trends.
  • Results-oriented with a focus on achieving strategic goals.
  • Excellent communication and interpersonal skills.
  • Ability to work independently and prioritize tasks effectively.
  • Knowledge of machine learning concepts is a plus.

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