Data Engineer at ipNX Nigeria Limited

ipNX is one of Nigeria’s fastest growing Information and Communications Technology companies, serving a multitude of needs across enterprises, small businesses and residents with innovative, world-class services. Our ability to identify, satisfy and exceed today’s market needs is a testament to over a decade of experience, our commitment, drive and passion realized through highly skilled and well seasoned professionals.

We are recruiting to fill the position below:

Job Title: Data Engineer

Location: Lagos
Employment Type: Full-time

Job Summary

• We are seeking a Data Engineer to join our Lagos team. This role is to drive the organization's data-driven decision-making by collecting, analyzing, and interpreting complex datasets.
• As a key member of our team, the incumbent will collaborate with cross -functional teams to identify business needs, design data solutions, and implement strategies for effective data management.
• From constructing data pipelines to generating actionable insights, this role plays a pivotal part in shaping the organization's data infrastructure.
• The successful candidate will leverage advanced analytical skills, programming proficiency, and a strategic mindset to contribute to the optimization of processes and support informed business strategies.

Responsibilities

• Develop and implement robust data collection processes, ensuring accuracy through regular validation checks
• Design and maintain databases to store and retrieve data efficiently.
• Optimize database performance, troubleshoot issues, and ensure data integrity.
• Utilize statistical methods and tools to analyze large datasets. Interpret trends, patterns, and anomalies, providing actionable insights for decision-making
• Implement Extract, Transform, Load (ETL) processes to transform raw data into usable formats. Streamline and automate data workflows for efficiency.
• Create visually compelling reports and dashboards using tools like Google Looker Studio, Zoho Analytics, Power BI, and other data visualization platforms. Communicate complex findings to both technical and non-technical stakeholders.
• Work closely with teams from various departments to understand their data needs. Collaborate on projects and provide data-driven insights to support business goals.
• Monitor data systems for performance and efficiency. Identify opportunities for optimization and implement improvements to enhance overall data processing.
• Document data processes, methodologies, and best practices. Share knowledge within the team and contribute to the development of a robust data knowledge base.

Qualification and Experience

• Bachelor's degree in Computer Science, Data Science, Statistics, or a related field.
• Post Graduate Degree (MBA, M.Sc., etc.) an added advantage
• Certifications will be an added advantage
• Experience in extracting, cleaning, and analyzing data to generate actionable insights. Proficient in creating reports and dashboards for various stakeholders.
• Proven track record in designing, implementing, and maintaining databases. Knowledgeable in database optimization, indexing, and troubleshooting.
• Hands-on experience with Extract, Transform, Load (ETL) processes, ensuring efficient data transformation and integration across systems.
• Proficient in creating compelling visualizations using tools such as Google Looker Studio, Zoho Analytics, Power BI, and other data visualization platforms. Ability to communicate complex findings through visual representation.
• Demonstrated ability to work collaboratively with teams from various departments, understanding their data needs, and providing valuable insights.
• Managed and prioritized multiple data-related projects, ensuring timely delivery and meeting business objectives.
• Ability to manage multiple priorities and deliver high quality results within deadlines.

Application Closing Date
9th October, 2024. 

Method of Application
Interested and qualified candidates should send their Resume to: [email protected] using the Job Title as the subject of the mail.