Data Engineer
Data Engineer
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Job Description
Our client a global leader in the shipping industry is seeking a talented Data Engineer to join their dynamic team in Mumbai.
Data Engineer
Andheri Mumbai India
Organization : This position reports to Senior Data expert in the company headquarters. You will support strategic and operational decisions through advanced data analytics ensuring our client remains at the forefront of the industry. You will help implementation of analytical capabilities and various data points across the company s assets. This role is crucial for leveraging data for ensuring that the organization has a competitive edge in the industry. If youre someone who thrives on building robust data systems and loves solving realworld data challenges this is the role for you.
Key Responsibilities:
- Design implement and maintain scalable cloudbased 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 crossfunctional stakeholders across time zones to deliver practical data solutions.
- Simplify technical concepts for nontechnical 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.
Requirements
- Bachelor s degree in IT Computer Science Statistics or related field.
- At least 3 years of handson experience as a Data Engineer with strong skills in SQL PySpark and Airflow.
- Solid knowledge of designing Data Lakes and Warehouses especially within cloud ecosystems.
- Proficiency in AWS services like EC2 S3 EMR and experience managing infrastructure involving Spark Hive and Presto.
- Experience with relational databases such as Postgres MySQL or Oracle.
- Strong communication skills and the ability to work independently in a goaloriented environment.
- Exposure to MLOps tools like AWS SageMaker and ECR.
- Familiarity with other cloud platforms such as Google Cloud Platform or Azure.
- Excellent communication and presentation skills in English.
Benefits
- Join us to make a significant impact in the maritime industry through cuttingedge data analytics.
- A competitive remuneration package with benefits.
- Work with a global leader in the shipping industry.
RECRUITMENT PROCESS: Please apply with an updated resume. All applications will be treated as strictly confidential. Our team will review your application and a consultant will get in touch with you accordingly.
Comaea Consulting
Bachelor s degree in IT, Computer Science, Statistics, or related field. At least 3 years of hands-on experience as a Data Engineer, with strong skills in SQL, PySpark, and Airflow. Solid knowledge of designing Data Lakes and Warehouses, especially within cloud ecosystems. Proficiency in AWS services like EC2, S3, EMR, and experience managing infrastructure involving Spark, Hive, and Presto. Experience with relational databases such as Postgres, MySQL, or Oracle. Strong communication skills and the ability to work independently in a goal-oriented environment. Exposure to MLOps tools like AWS SageMaker and ECR. Familiarity with other cloud platforms such as Google Cloud Platform or Azure. Excellent communication and presentation skills in English.
Education
Bachelor s degree in IT, Computer Science, Statistics, or related field.
Employment Type
Full Time
