Data Engineer at Dufil Group

Over the past 17 years in the Nigerian market, Dufil Group has had a remarkable impact on the Nigerian culinary Landscape. Their Product, Indomie Instant Noodles which appeals to several demographic groups has grown to become a household name across the country. The group, which is a joint venture between Tolaram Group of Singapore and Salim Group of Indonesia, currently has 3 factories. The First; De United Foods Industries limited which was commissioned in 1995 in Ota Ogun State, is the First Instant Noodles Manufacturing Plant in Nigeria and the Largest in Africa. The second Factory; Dufil Prima Foods Plc which was commissioned in 2001 is located in Choba, Port Harcourt, Rivers State. The third and most recent state of the art automation factory was commissioned in Kaduna on the 29th of May 2012.

Dufil Prima Foods Ltd is one of the leading FMCG companies in Nigeria with eight processing locations across the nation. 

We are seeking a skilled and experienced Data Engineer to join our Data and Analytics  team. The ideal candidate will have a strong background in building and maintaining  scalable data pipelines, optimizing data flow, and working with various data infrastructure  technologies. This role is critical in ensuring the seamless integration and accessibility of  data across the organization, enabling data-driven decision making and insights.

LOCATION: West Africa

KEY RESPONSIBILITIES:

• Data Pipeline Development
• Data Integration and Management
• Data Quality and Governance
• Collaboration and Support
• Continuous Improvement

REQUIREMENTS/ QUALIFICATIONS:

• Bachelor’s degree  (First class Graduate) in Computer Science, Information Technology,  Engineering, or a related field.
• Master’s degree or relevant certification in data engineering, data  science, or big data technologies is a plus.
• .2+ years of experience in data engineering or related roles
• .Proven track record of designing and implementing data pipelines and  ETL processes.

TECHNICAL SKILLS:

• Proficiency in programming languages such as Python, Java, or Scala.
• Strong knowledge of SQL and experience with relational databases (e.g.,  MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra).
• Experience with data processing frameworks and tools such as Apache  Spark, Hadoop, or Kafka.
• Familiarity with cloud platforms and services (e.g., AWS, Azure, Google  Cloud) for data storage and processing.

ANALYTICAL SKILLS:

• Excellent problem-solving skills and attention to detail.
• Ability to work with large datasets and perform data analysis to derive  insights.

SOFT SKILLS:

• Strong communication and collaboration abilities.
• Ability to work in a fast-paced, dynamic environment and manage  multiple tasks effectively.

Method of Application