About Our Client
Navora Recruitment, under the aegis of Maritime Solutions Ltd., is hiring a Lead Data Engineer for a global leader in vessel management. The organization delivers end-to-end maritime solutions powered by digital innovation, data intelligence, and operational excellence to enhance fleet performance and customer experience.
Overview
We are looking for a Lead Data Engineer to own and scale our data infrastructure. This role goes beyond pipelinesyou will architect robust data systems, collaborate across engineering and product teams, and enable data-driven decision-making across the enterprise.
The ideal candidate brings strong engineering fundamentals, hands-on pipeline expertise, and the ability to evolve data platforms that support analytics, AI, and real-time applications.
What Will You Do
- Design, build, and optimize scalable data pipelines (ETL/ELT) using Python
- Orchestrate workflows using Apache Airflow (DAG design, retries, dependencies, monitoring)
- Architect and manage data models, schemas, and storage systems across SQL and NoSQL environments
- Collaborate with frontend and backend teams to deliver data-driven applications and APIs
- Ensure data quality and reliability through validation, monitoring, and alerting mechanisms
- Optimize performance of pipelines and queries (indexing, caching, partitioning)
- Troubleshoot production issues, ensuring high availability and fast recovery
- Document data architecture, workflows, and APIs for scalability and onboarding
- Partner with product, analytics, and engineering teams to translate business needs into data solutions
- Drive best practices in CI/CD, testing, modularization, and automation
The Must-Haves
- 68 years of experience in Data Engineering / Software Engineering
- Strong proficiency in Python (modular, scalable, testable code)
- Hands-on experience building and managing data pipelines and orchestration workflows
- Deep expertise in Apache Airflow
- Advanced SQL skills (joins, window functions, query optimization)
- Experience with MongoDB (schema design, indexing, aggregation pipelines)
- Proficiency with Git/GitHub (branching, PRs, code reviews)
- Experience with cloud platforms (AWS / GCP / Azure) and storage systems (S3, GCS, etc.)
- Familiarity with Docker and working knowledge of Kubernetes
- Strong debugging, troubleshooting, and performance tuning skills
- Ability to collaborate across teams and build end-to-end data solutions
- Ownership mindset with attention to detail and problem-solving ability
Good to Have
- Experience with data warehousing platforms (Snowflake, Redshift, Big Query)
- Knowledge of Infrastructure as Code (Terraform, CloudFormation)
- Exposure to distributed systems (Spark, Flink, Beam)
- Experience with data governance, security, and compliance frameworks
- Familiarity with automated testing (unit, integration, data validation)
- Mentorship or leadership experience guiding junior engineers
- Experience in performance and cost optimization, monitoring, and observability
What's on Offer
- Opportunity to build and scale enterprise-grade data platforms
- Exposure to cutting-edge cloud and data technologies
Ready to build the backbone of data-driven innovation
Apply now at [Confidential Information] or connect with Roohi Mehta (+65 87259801) to explore this opportunity.
