Senior Dredging Data Engineer

•    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