• Application Deadline:
• Position: Senior Data Engineer



• Job Type Full Time



• Qualification BA/BSc/HND



• Experience 9 years



• Location Lagos




• Job Field Data, Business Analysis and AI 
  
  

Job Description

• We are seeking a highly motivated and result-driven Senior Data Engineer with a minimum of 9years experience to join our team.


• As a Senior Data engineer, you will be responsible for architecting, designing and building data processing systems and infrastructure in a cloud environment

Responsibilities

• Design, develop, and maintain cloud-based data pipelines and data processing systems.


• Collaborate with stakeholders to gather requirements and define data engineering solutions.


• Implement data integration and ETL processes to extract, transform, and load data from various sources.


• Ensure data quality, integrity, and consistency across different data sets.


• Optimize and fine-tune data processing and data storage systems for performance and scalability.


• Monitor and troubleshoot data pipelines and resolve any issues that arise.


• Collaborate with cross-functional teams to implement data governance and security measures.

Requirements

• Minimum of 9 years’ experience in Cloud Data Engineering, Machine Learning, and Visualization.


• Proficiency in AWS Boto3 Python SDK


• Experience with big data processing frameworks such as Apache Spark or Hadoop.


• Familiarity with data modeling, data warehousing, and database design principles.


• Knowledge of Cloud Warehousing Solutions such as Amazon Redshift and Google BigQuery


• Experience with ETL tools such as Amazon Glue


• Knowledge of SQL and NoSQL databases.


• Experience with data integration tools and technologies (e.g., Apache Kafka, Apache NiFi).


• Understanding of data governance, data security, and privacy best practices.


• Knowledge of data visualization tools (e.g., Data Studio, QuickSight, Tableau, Power BI).


• Relevant Solution Architecture, Data engineering and Machine learning Certification,


• Experience with containerization technologies (e.g., Docker, Kubernetes).