• Application Deadline:
• Position: Data Engineer


• Job Type Full Time


• Qualification BA/BSc/HND


• Experience 3 - 5 years


• Location Abuja


• Job Field Data, Business Analysis and AI 
  

Overview 

We are seeking a highly skilled and motivated Data Engineer to join our dynamic team. As a Data Engineer, you will play a crucial role in designing, developing, and maintaining our data infrastructure, ensuring its scalability, reliability, and performance on-premises. You'll collaborate closely with cross-functional teams to understand data requirements, implement robust pipelines, and contribute to the optimization of our data architecture. 

Roles & Responsibilities 

• Design, build, and maintain scalable and efficient data pipelines and architectures for both batch and real-time processing. 


• Collaborate with data scientists, analysts, and stakeholders to understand data needs and translate them into technical requirements. 


• Develop and implement data models, schemas, and database designs to support business objectives. 


• Ensure data quality, integrity, and security throughout the entire data lifecycle. 


• Optimize and tune existing data infrastructure for performance and reliability. 


• Evaluate and implement new tools and technologies to enhance data processing and analysis capabilities. 


• Troubleshoot and resolve data-related issues in a timely manner. 


• Document processes, procedures, and solutions for future reference and knowledge sharing. 


• Ensure compliance with data governance and security policies 


• Collaborate with data scientists, data architects and ML engineers on several projects 


• Collaborate with management to understand and execute company objectives 

Skills 

• Previous experience as a data engineer or in a similar role. 


• Technical expertise with database technologies, ETL (extract, transform, load) processes, data models, data mining, data warehousing, data lake, big data, data integration, data web-scrape and segmentation techniques. 


• Knowledge of programming languages (e.g., Java, Python and Scala) 


• Data Pipelines: Understands how to build data pipelines using tools like Apache Spark, Apache Kafka, Hadoop and Apache Airflow. 


• Hands-on experience with SQL database design and know about NoSQL databases such as Cassandra, MongoDB, and HBase. 


• Great numerical and analytical skills 


• Data engineering certification (e.g., IBM Certified Data Engineer) is a plus 


• Soft Skills: Good communication skills, problem-solving skills, and a willingness to learn are essential to succeed as a data engineer.