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Data Engineer at Oando Plc

Posted on Wed 06th Nov, 2024 - hotnigerianjobs.com --- (0 comments)


Oando Plc is one of Africa’s largest integrated energy solutions provider with a proud heritage. It has a primary listing on the Nigeria Stock Exchange and a secondary listing on the Johannesburg Stock Exchange. With shared values of Teamwork, Respect, Integrity, Passion and Professionalism (TRIPP).

We are recruiting to fill the position below:

Job Title: Data Engineer

Location: Lagos
Job Type: Full-time

Overall, Purpose of Job

  • The Data Engineer will be responsible for designing, building, and optimizing data infrastructure, enabling seamless access to high-quality data across the organization.
  • This role supports advanced data-driven initiatives across all subsidiaries including upstream, trading, and clean energy arms by ensuring reliable and secure data pipelines.
  • You will collaborate with data scientists, analysts, and business stakeholders to enable insights and business intelligence.

Key Responsibilities
Data Infrastructure & Pipeline Development:

  • Design, build, and maintain efficient and scalable data pipelines.
  • Automate data ingestion processes from multiple sources, ensuring timely delivery.
  • Collaborate with data scientists and analysts to ensure data pipelines are robust and support their needs for modeling and analysis.
  • Continuously optimize existing data pipelines to improve performance, scalability, and reliability.
  • Ensure smooth operation of ETL processes and resolve any data-related issues promptly.

Data Storage and Architecture:

  • Implement best practices for data storage using modern data warehouse solutions (e.g. Snowflakes, Redshift, BigQuery)
  • Design and manage both SQL and NoSQL databases for different business applications.
  • Maintain and evolve data architecture to support business expansion needs.

Data Management and Governance:

  • Ensure data integrity, accuracy, and security through rigorous data management practices.
  • Implement data governance frameworks, ensuring compliance with internal policies and external regulations.
  • Establish data monitoring and auditing procedures to track data usage and identify potential risks or inconsistencies.
  • Ensure data privacy and security protocols are maintained, adhering to NDPA and other relevant data protection regulations.

Collaboration:

  • Work closely with Data Scientists, Analysts, Business Information Coordinators, and stakeholders to gather requirements and implement effective data solutions
  • Collaborate with IT and business units to align data strategies with organizational goals.
  • Collaborate with solution architects to optimize the cloud data infrastructure.

Relationships
Reports To:

  • Assistant Manager, Solution Architect

Responsible For:

  • Building, maintaining, and optimizing scalable data pipelines.
  • Ensuring data accuracy and availability across systems.
  • Implementing data governance and security best practices.
  • Supporting data-driven decision making across the business.

Key Performance Indicators (KPIs):

  • Data Pipeline Uptime: Ensure 99.5% uptime for critical data pipelines.
  • Data Governance Compliance: Achieve 100% compliance with governance and security policies, including audit trails, access controls, and regulatory adherence.
  • Data Processing Efficiency: Improve pipeline processing speed by an additional 20% through continuous optimization, automation, and system upgrades.
  • Data Storage Optimization: Reduce storage costs by 15% through effective data management.
  • Data Quality Metrics: Achieve 95% data accuracy across all systems.

Person Specification

  • Bachelor’s Degree in Computer Science, Information Systems, or a related field.
  • 3-5 years of experience as a Data Engineer or in a similar role.
  • Proficiency in SQL, Python, and cloud data platforms (AWS, Azure and Google Cloud).
  • Strong understanding of relational and NoSQL databases (e.g., PostgreSQL, MongoDB).
  • Familiarity with data modeling, data warehousing, and Big Data processing (e.g., Hadoop, Spark).
  • Knowledge of containerization (e.g., Docker, Kubernetes) is a plus.
  • Proficient in Microsoft Office Suite, (including Word and Excel.)
  • Professional qualifications such as ITIL (Information Technology Infrastructure Library).

Required Competencies:

  • Problem-solving and Critical Thinking: Ability to analyze data, identify trends, and recommend actionable solutions
  • Ability to communicate technical concepts effectively to both technical and non-technical stakeholders.
  • Experience in the energy sector, drone datasets or working with IoT dataset is a plus.
  • Familiarity with distributed systems and cloud-based data platforms.
  • Strong collaboration and team-building skills to work cross-functionally.
  • Experience working in Agile or DevOps environments

Application Closing Date
Not Specified.

How to Apply
Interested and qualified candidates should:
Click here to apply online


  

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