Data Science Analyst

Our client, a global leader in the shipping industry, is seeking a talented Data Engineer to join their dynamic team in Mumbai.

Data Science Analyst

Andheri, Mumbai, India

ORGANISATION :

Key Responsibilities:

• Design, implement, and maintain scalable cloud-based data lakes, warehouses, and ETL/ELT pipelines.
• Optimize cloud environments for high availability and performance—your systems will support 24/7 operations across global fleets.
• Enforce data protection protocols and compliance with standards like GDPR and SOC2 to ensure security of sensitive ship and operational data.
• Automate pipeline workflows using tools such as Apache Airflow to reduce manual intervention and improve reliability.
• Collaborate with Data Scientists to prep and deliver clean datasets for predictive models around fuel consumption, maintenance, and more.
• Troubleshoot issues in data pipelines and infrastructure, identifying root causes and implementing sustainable fixes.
• Maintain clear data documentation and source mappings to make life easier for business and analytics users.
• Continuously explore new tools and techniques to enhance pipeline resilience and data quality.
• Work closely with engineering peers, IT Ops, and cross-functional stakeholders across time zones to deliver practical data solutions.
• Simplify technical concepts for non-technical users—including ship crew—and ensure solutions are both usable and scalable.
• Participate in team code reviews, mentorship sessions, and continuous learning—no maritime experience required, just a strong curiosity to learn.

Your Profile:

• Bachelor’s degree in IT, Computer Science, Statistics, or related field.
• At least 5 years of hands-on experience as a Data Engineer, with strong skills in SQL, PySpark, and Airflow.
• Hands-on experience with Data Lake/Warehouse design, relational databases (Postgres, MySQL, Oracle), and big data tools like Spark, Hive, or Presto.
• Proficiency in AWS services like EC2, S3, EMR, and experience managing infrastructure involving Spark, Hive, and Presto.
• Experience in Generative AI model usage, tuning, and configuration using frameworks like LangChain, Vertex AI, or Hugging Face.
• Experience in ML model development (Python/R, Scikit-learn, PyTorch) and familiarity with MLOps tools such as SageMaker or ECR.
• Knowledge of data governance and security standards (GDPR, SOC2) and strong documentation practices.
• Familiarity with other cloud platforms such as Google Cloud Platform or Azure.
• Excellent communication and presentation skills, with the ability to simplify complex concepts for business stakeholders.

The Offer:

• Join us to make a significant impact in the maritime industry through cutting-edge data analytics.
• A competitive remuneration package with benefits.
• Work with a global leader in the shipping industry.

RECRUITMENT PROCESS:

Comaea Consulting

www.comaeaconsulting.com