Data Engineer

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Software & Data

Job Title: Data Engineer

Location: Surulere, Lagos

Employment Type: full-time

Position Summary:

The Data Engineer is responsible for designing, building, and maintaining data pipelines and architectures that enable the collection, processing, and analysis of large datasets. The role ensures that data is clean, reliable, and accessible for business intelligence, analytics, and decision-making.

Key Responsibilities:

Data Architecture & Pipeline Development:

• Design, develop, and maintain scalable ETL (Extract, Transform, Load) pipelines for structured and unstructured data.
• Build and optimize data architectures to support reporting, analytics, and machine learning use cases.
• Integrate data from various sources (databases, APIs, cloud systems, third-party tools).

Data Quality & Governance:

• Ensure data integrity, security, and compliance with company and industry standards.
• Monitor, troubleshoot, and resolve issues in data pipelines.
• Implement data validation and cleansing processes to maintain accuracy and consistency.

Collaboration & Support:

• Work closely with data scientists, analysts, and business teams to understand data needs.
• Provide support for analytics and reporting by ensuring data availability and reliability.
• Collaborate with DevOps/Cloud engineers to optimize data storage and processing performance.

Innovation & Optimization:

• Continuously improve data infrastructure for efficiency and scalability.
• Stay updated with emerging technologies in big data, cloud, and data engineering tools .
Recommend and implement best practices for data modeling and database design.

Qualifications:

• Education: B.Sc./B.Eng./M.Sc. in Computer Science, Data Science, Engineering, Information Systems, or a related field.
• Experience:
• Proven experience as a Data Engineer, ETL Developer, or similar role .
• Hands-on experience with SQL, Python, Spark, or Scala .
• Strong knowledge of data warehousing solutions (e.g., Snowflake, Redshift, BigQuery).
• Familiarity with cloud platforms (AWS, Azure, or GCP).
• Experience with workflow/orchestration tools (e.g., Airflow, Luigi).
• Skills:
• Strong problem-solving and analytical skills.
• Excellent communication and teamwork abilities.
Knowledge of data governance, security, and compliance practices.

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