💡 Opportunity Summary
- 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.
- Designing and implementing data processing systems, such as batch processing and stream processing, to support data analysis and decision making.
- 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.
Method of Application
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