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oracle

Senior Dredging Data Engineer

NMDC Dredging & Marine
Abu Dhabi, UAE
Full-time
Senior · 7+ years experience
Onsite
Discovered 3 days ago
awsazuregcpgitpythonscala

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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

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.
  • 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.

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