We are an information technology and consulting service company with a specialty in creating winning products and solutions that address the right unmet needs, and that help our clients achieve their set goals and objectives while also improving their business processes, products and services and of course their bottom line figures. With our integrated team of design thinkers, software engineers, business and process analysts and developers, we collaborate with you to get to know your business, understand your industry and incorporate your big ideas into solutions that grows your customer base and keeps your business in busine.
The Job Overview
- We are seeking a highly skilled and analytical Data Engineer to design, build, and maintain scalable data pipelines and infrastructure that enable effective data collection, storage, and analysis.
- The ideal candidate will have 3+ years of hands-on experience managing data architecture, integrating multiple data sources, and ensuring reliable data flow across systems. You will collaborate with analysts, developers, and business stakeholders to ensure our data environment supports decision-making and operational excellence.
Key Responsibilities
Data Architecture & Integration
- Design, build, and maintain efficient, scalable, and reliable data pipelines.
- Integrate data from multiple sources (internal systems, APIs, third-party applications).
- Develop and manage ETL (Extract, Transform, Load) processes for structured and unstructured data.
- Implement and optimize data storage solutions (data warehouses, lakes, and marts).
Data Quality & Governance
- Ensure data accuracy, consistency, and reliability across all systems.
- Implement data validation, error handling, and monitoring processes.
- Collaborate with teams to define and enforce data governance standards and best practices.
Collaboration & Support
- Work closely with data analysts and scientists to optimize data availability and usability.
- Collaborate with software engineers and business units to understand data needs and develop solutions.
- Support analytics and reporting teams with clean, well-structured datasets.
Performance Optimization & Innovation
- Monitor and improve system performance, scalability, and efficiency.
- Stay current with emerging technologies in data engineering, cloud platforms, and analytics tools.
Education Requirements
- Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field.
Method of Application
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