Senior Dredging Data Engineer
The Senior Dredging Data Engineer will lead the design, implementation, and optimization of on‑premises data pipelines and storage systems for complex dredging projects. They will provide technical leadership within the DevOps team to ensure high‑performance, reliable data solutions aligned with business requirements.
Skills required
About this role
• Lead the management and optimization of the on-premises server-based data infrastructure, focusing on Dredging data
• Design implement and maintain data pipelines while addressing complex data engineering problems
• Provide technical leadership within the DevOps team, collaborating with both junior and senior members to develop scalable, high-performance data solutions aligned with the unique demands of Dredging projects.
Responsibilities
• Collaborate within DevOps team and with end-users to understand data requirements based on business and project needs
• Architect and implement scalable data pipelines for efficient data extraction, transformation, and loading
(ETL), ensuring seamless data integration across systems.
• Oversee and fine-tune data storage and retrieval mechanisms to uphold high standards of data integrity, performance, and availability.
• Perform advanced data analysis and develop reporting solutions to support strategic decision-making and optimize operational performance.
• Lead testing and validation processes to ensure data quality, proactively identifying and resolving data-related issues.
• Stay ahead of industry trends and drive the adoption of emerging technologies to continuously improve data infrastructure and workflows.
• Mentor and guide other data engineers, fostering knowledge sharing and skill development across the team.
Qualifications
- Bachelor's Degree in Computer Science, Software Engineering, or equivalent
- Minimum 07 years of experience in Data Engineering or related roles, demonstrating a proven track record of designing and implementing effective data solutions
- Experience with on-premises server environments and/or cloud-based data platforms (e.g., Azure, AWS, Google Cloud}
- Proficiency in programming with Python and/or Scala
- Knowledge of SQL and NoSQL data storage/retrieval technologies
- Familiarity with version control systems, such as GIT
- Knowledge of RESTful AP ls and integration with front-end services
- Experience in supporting back-end development and providing data solutions for the creation and enhancement of desktop and/or web applications
- Contributions to open-source projects or a strong GitHub profile
- Familiarity with data science projects and methodologies
- Exposure to Dredging and/or Civil Engineering
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