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14 Aug 2024

Data Engineer at ipNX Nigeria Limited

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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 Description

  • 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 ad vanced 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.

Qualifications

  • Bachelor’s Degree in Computer Science, Data Science, Statistics, or a related field with 2 – 5 years experience.
  • Post Graduate Degree (MBA, M.Sc., etc.) an added advantage.
  • Certifications will be an added advantage.

Work Experience:

  • 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.

Skills:

  • Customer Focus
  • Tech savvy
  • Action orientation
  • Drive results
  • Cultivate Innovation
  • Ability to optimize work processes
  • Resilience
  • Self-Development
  • Nimble Learning.

Application Closing Date
28th August, 2024.




Method of Application

Interested and qualified candidates should send their cover letter, resume and credentials to: 

[email protected] 

using the Job Title as subject of the mail.



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