• Application Deadline:
• Position: Data Engineer


• Job Type Full Time


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


• Experience 3 - 5 years


• Location Lagos


• Job Field ICT / Computer 
  

Job Summary

• We are seeking an experienced Data Engineer to join our dynamic IT team. As a Data Engineer, you will be responsible for designing, developing, and maintaining robust data architectures and pipelines.


• The ideal candidate should have 3 to 5 years of relevant experience, a strong background in data engineering technologies, and a passion for optimizing data workflows.

Responsibilities

• Collaborate with cross-functional IT teams to understand data requirements and architecture goals.


• Design and develop scalable and efficient data pipelines for data processing and integration.


• Implement ETL processes to transform raw data into usable formats for analysis and reporting.


• Optimize and maintain database performance, ensuring data integrity and reliability.


• Collaborate with data scientists and analysts to understand data needs and provide efficient solutions.


• Design and implement data models, ensuring compatibility with business requirements.


• Develop and maintain documentation for data engineering processes, workflows, and data dictionaries.


• Collaborate with IT security teams to implement data privacy and compliance measures.


• Stay updated on emerging trends and best practices in data engineering.


• Participate in the planning and execution of data-related projects.

Requirements

• Bachelor's degree in computer science, Information Technology, or a related field.


• 3 to 5 years of proven experience as a Data Engineer.


• Proficiency in programming languages for data manipulation and transformation (e.g., Python, Scala).


• Experience with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery).


• Strong knowledge of ETL tools and frameworks (e.g., Apache Spark, Apache Beam).


• Proficient in SQL and database management (e.g., MySQL, PostgreSQL, or similar).


• Familiarity with cloud-based data storage and processing platforms (e.g., AWS, Azure, or Google Cloud).


• Excellent problem-solving and debugging skills.


• Ability to collaborate effectively with cross-functional teams and communicate technical concepts to non-technical stakeholders.


• Proactive attitude towards learning and staying updated on industry trends.

Preferred Qualifications

• Master's degree in computer science or a related field.


• Certification in data engineering or related areas.


• Experience with real-time data processing and streaming technologies.


• Knowledge of data governance and compliance.


• Familiarity with machine learning concepts and implementations.


• Contribution to open-source data engineering projects or a strong portfolio of previous work.