• Application Deadline:
• Position: Data Engineer


• Job Type Full Time


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


• Experience 3 - 5 years


• Location Lagos


• Job Field Data, Business Analysis and AI 
  

Job Description 

We are seeking a talented and experienced Data Engineer to join our team.

• The Data Engineer will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure to support our data analytics and business intelligence needs.


• The ideal candidate will have a strong background in data engineering, a deep understanding of data architecture, and experience with big data technologies.

Key Responsibilities

• Data Pipeline Development: Design, develop, and maintain scalable data pipelines to process and analyze large datasets from various sources.


• Data Integration: Integrate data from multiple data sources and ensure data quality, consistency, and reliability.


• Data Warehousing: Build and maintain data warehouses and data lakes to support analytics and reporting needs.


• Data Transformation: Implement data transformation and cleaning processes to ensure data is ready for analysis.


• Performance Optimization: Optimize data processing performance and troubleshoot any issues related to data pipelines and infrastructure.


• Collaboration: Work closely with data scientists, analysts, and other stakeholders to understand their data needs and provide the necessary data infrastructure.


• Documentation: Document data engineering processes, data flows, and infrastructure designs.


• Security and Compliance: Ensure data security, privacy, and compliance with relevant regulations and standards.


• Continuous Improvement: Stay up-to-date with the latest industry trends and technologies, and continuously improve data engineering practices and processes.

Qualifications

• Education: Bachelor’s degree in Computer Science, Information Technology, or a related field. Master’s degree is a plus.


• Experience: Minimum of 3-5 years of experience in data engineering or a similar role.


• Technical Skills: Proficiency in programming languages such as Python, Java, or Scala. Strong SQL skills.


• Big Data Technologies: Experience with big data technologies such as Hadoop, Spark, Kafka, and NoSQL databases.


• Data Warehousing: Experience with data warehousing solutions such as Amazon Redshift, Google BigQuery, or Snowflake.


• ETL Tools: Familiarity with ETL tools and processes.


• Cloud Platforms: Experience with cloud platforms such as AWS, Azure, or Google Cloud.


• Analytical Skills: Strong analytical and problem-solving skills.


• Communication Skills: Excellent verbal and written communication skills.


• Collaboration: Ability to work effectively in a collaborative team environment.


• Certification: Relevant certifications (e.g., AWS Certified Data Analytics, Google Professional Data Engineer) are a plus.