Data Engineer
Description For Data Engineer
Dangote Group, through its technology subsidiary Dancom Technologies Limited, is seeking a skilled Data Engineer to join their team in Lagos, Nigeria. This role offers an exciting opportunity to shape the company's data infrastructure while working with cutting-edge technologies. The ideal candidate will be responsible for designing and implementing scalable data solutions, focusing on ETL/ELT processes, data warehousing, and cloud platform optimization, particularly on Azure.
The position requires a strong technical background with 4+ years of experience in data engineering, combining expertise in both traditional databases and modern big data technologies. You'll work on critical projects including data pipeline development, warehouse management, and platform modernization, ensuring data quality and accessibility for business intelligence and analytics purposes.
This role is perfect for someone who enjoys working with diverse technologies, from SQL and Python to cloud platforms and big data tools. You'll have the opportunity to lead important initiatives like legacy platform migration to Azure and implementation of advanced monitoring solutions. The company offers comprehensive benefits including health insurance, professional development opportunities, and a collaborative work environment.
Working onsite in Lagos, you'll be part of a dynamic team that values technical excellence and innovation. This role is ideal for a data professional looking to make a significant impact in a leading African industrial conglomerate while growing their career in data engineering.
Responsibilities For Data Engineer
- Design, develop, and implement scalable data pipelines to extract, transform, and load data from various sources
- Build and maintain data warehouses and lakes to support business intelligence and analytics
- Write high-quality code and conduct peer code reviews to ensure best practices
- Develop data models and schemas for effective data analysis and reporting
- Optimize data processing, query performance, and platform efficiency
- Ensure data quality, integrity, and security through robust governance practices
- Lead the migration of legacy data platforms to Azure
- Modernize applications and databases to leverage Azure's advanced capabilities
- Implement monitoring solutions for database usage, performance, and reliability
- Develop automated data quality checks and testing procedures
Requirements For Data Engineer
- Bachelor's degree in Computer Science, Engineering, or a related field
- 4+ years of experience in a similar role within the technology industry
- Proven experience in data engineering, with a strong foundation in ETL/ELT processes and data warehousing
- Proven ability to work with both OLTP (Postgres/MySQL) and OLAP systems
- Hands-on experience in designing, optimizing, and managing batch and streaming data pipelines
- Expertise in data migration and modernization, particularly on Azure cloud platforms
- Microsoft Certification in Azure Data Engineering is highly desirable
- Expertise in SQL, Python, and other programming languages relevant to data engineering
- Experience with big data technologies such as Hadoop, Spark, and Hive
- Knowledge and hands-on experience with cloud platforms like AWS, Azure, or GCP
- Familiarity with data visualization tools like Tableau or Power BI
- Knowledge of machine learning and statistical modelling is a plus
- Onsite availability required
Benefits For Data Engineer
- Private Health Insurance
- Paid Time Off
- Opportunities for Professional Growth and Career Advancement
- Training and Development Programs
- Competitive Salary
- Collaborative and Supportive Work Environment
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