Data Management Team Lead

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.

We are looking for a Lead – Data Engineer to own and scale our data infrastructure. This role goes beyond pipelines—you 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.

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)
Document data architecture, workflows, and APIs for scalability and onboarding
Partner with product, analytics, and engineering teams to translate business needs into data solutions
6–8 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
• Advanced SQL skills (joins, window functions, query optimization)
• Experience with MongoDB (schema design, indexing, aggregation pipelines)
• 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
• Experience with data warehousing platforms (Snowflake, Redshift, Big Query)

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

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