DATA ENGINEER

JOB SUMMARY

1. To design, build, and maintain robust, scalable, and high-performance ETL/ELT data pipelines for reporting, business intelligence, and machine learning initiatives
2. The role is critical for ensuring the uality, lineage, and governance of all critical data assets.

DUTIES & RESPONSIBILITIES

1. Build and optimize data pipelines using tools like Airflow/Prefect to ingest data from core banking, payment, and third-party sources.
2. Design and implement dimensional and denormalized data models within the Data Warehouse (e.g., Postgres/Oracle/BigQuery).
3. Utilize streaming technologies like Kafka and transformation tools like DBT to process data in real-time or near real-time.
4. Implement data quality checks and maintain data lineage documentation for governance.
5. Leverage Python and SQL extensively for scripting, data manipulation, and pipeline development.

EDUCATION AND EXPERIENCE

• Education: Bachelor’s degree or Higher National Diploma from Any Approved University or Polytechnic.
• Relevant certifications for DBA are an added advantage
• Experience: 4-6+ years hands-on experience in full stack development.
• Specific Experience: Prior experience in banking, fintech, or other financial services environments is highly desirable

KNOWLEDGE/ SKILLS/COMPETENCIES

• Warehousing principles, Data Governance frameworks, Dimensional
• Python, Advanced SQL, ETL/ELT tools (Airflow/Prefect), Modeling, Kafka/Stream processing, Data Quality Postgres/Oracle/BigQuery, DBT, APIs, Git, CI/CD.