• Application Deadline:
• Position: Data Engineer



• Job Type Full Time , Hybrid



• Qualification BA/BSc/HND , MBA/MSc/MA



• Experience



• Location Lagos




• Job Field ICT / Computer 
  
  

Description

• Responsible for designing and implementing data pipelines and architectures to support data processing and analysis.

Responsibilities

• Designing and building data pipelines to extract, transform, and load data from various sources into a data storage solution


• Developing and maintaining data storage solutions, such as data warehouses and data lakes, to ensure data quality, reliability, and accessibility


• Creating and implementing data security and privacy policies to ensure data privacy and compliance


• Designing and implementing data processing systems, such as batch processing and stream processing, to support data analysis and decision making


• Collaborating with Data Scientists and other stakeholders to understand their data needs and design data solutions that meet those needs


• Optimizing data processing performance and scalability to ensure data systems can handle large and growing data volumes


• Monitoring and maintaining the health and availability of data systems, and responding to and resolving issues as needed


• Participating in the development of data governance and management policies to ensure data accuracy and consistency


• Staying up-to-date with new data technologies and incorporating them into work as appropriate.

Qualifications

• A bachelor’s or master’s degree in computer science, software engineering, or a related field


• Strong programming skills in languages such as Python, Java, or Scala


• Strong understanding of data storage and processing technologies, such as Hadoop, Spark, or SQL


• Experience with cloud computing platforms such as AWS, Google Cloud, or Azure


• Excellent problem-solving and analytical skills


• Ability to effectively communicate with technical and non-technical stakeholders


• Ability to independently manage and prioritize multiple projects


• Strong attention to detail and accuracy


• Experience with data security and privacy technologies and best practices


• Familiarity with data analysis tools and techniques


• Experience with version control systems, such as Git.