Data Engineer job at Lafab Solutions

Lafab solutions

Job TypeFull TimeQualificationBA/BSc/HNDExperienceLocationNairobiJob FieldData, Business Analysis and AI , ICT / Computer

Build Data Pipelines

Design, develop, and maintain robust data pipelines to reliably ingest, process, and consolidate data from diverse sources at scale.

Data Modeling and Warehousing

Build and manage efficient data models, data warehouses, and data platforms to support BI and advanced analytics initiatives.

ETL/ELT Optimization

Develop and optimize ETL/ELT processes for maximum performance, scalability, reliability, and cost-efficiency.

Data Quality and Governance

Implement and enforce standards for data quality, security, and governance across all data assets.

Monitoring and Troubleshooting

Proactively monitor, troubleshoot, and tune data pipelines, and systems for performance and reliability.

Production Integration

Support the deployment and integration of machine learning models and analytical products into production and enable automation of solutions.

Requirements Collaboration

Collaborate with data scientists, analysts, and business stakeholders to understand requirements and deliver clean, reliable, and well-documented datasets.

Architecture and Strategy

Contribute to the overall data strategy, architecture design, and continuous process improvement initiatives.

Reporting and Metrics Automation

Develop and automate metrics, dashboards, and reports to monitor data governance trends, such as data quality.

Technical Documentation

Create and maintain comprehensive technical documentation on data pipelines, configurations, setups, and deployment of data solutions.

• Design, develop, and maintain robust data pipelines to reliably ingest, process, and consolidate data from diverse sources at scale.
• Build and manage efficient data models, data warehouses, and data platforms to support BI and advanced analytics initiatives.
• Develop and optimize ETL/ELT processes for maximum performance, scalability, reliability, and cost-efficiency.
• Implement and enforce standards for data quality, security, and governance across all data assets.
• Proactively monitor, troubleshoot, and tune data pipelines, and systems for performance and reliability.
• Support the deployment and integration of machine learning models and analytical products into production and enable automation of solutions.
• Collaborate with data scientists, analysts, and business stakeholders to understand requirements and deliver clean, reliable, and well-documented datasets.
• Contribute to the overall data strategy, architecture design, and continuous process improvement initiatives.
• Develop and automate metrics, dashboards, and reports to monitor data governance trends, such as data quality.
• Create and maintain comprehensive technical documentation on data pipelines, configurations, setups, and deployment of data solutions.

• BA/BSc/HND