NMDC Group
Requirements
Candidates must hold a Bachelor’s degree in Computer Science or Software Engineering and possess at least 7 years of experience in data engineering. Proficiency in Python or Scala, SQL/NoSQL technologies, and experience with server environments or cloud platforms are required.
Job Summary
• 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
Responsibilities
The role involves leading the management and optimization of on-premises data infrastructure while designing and maintaining scalable data pipelines. You will collaborate with the DevOps team to provide technical leadership and develop high-performance data solutions for dredging projects.
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