About Camlin Camlin is a global technology leader that operates with the vision of bringing revolutionary products to life for a wide range of industries, including power and rail, and also has interests in a number of R&D projects in a variety of scientific sectors.
At Camlin we believe in high quality engineering and design, allowing us to develop market leading products and services. As of now, Camlin operates in over 20 countries worldwide.
Collaborate with cross-functional teams to identify and address data-related requirements, contributing to strategic planning and execution.
Architect and develop data solutions, spanning from backend infrastructure to data model design and the implementation of data science and machine learning algorithms.
Continuously enhance the quality of our tools and applications through bug fixes and code refactoring.
Leverage the latest data technologies and programming languages, including Python, Scala, and Java, along with systems like Spark, Kafka, and Airflow, within cloud services such as AWS.
Ensure the ongoing maintenance, troubleshooting, optimization, and reliability of data systems, including timely resolution of unexpected issues.
Stay abreast of emerging technologies through research and testing, unlocking opportunities for productivity improvements and ensuring our market-leading services for customers.
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
Proficiency in programming languages such as Python, Scala or Java.
SQL knowledge for database querying and management.
Strong knowledge of relational and NoSQL databases (e.g., PostgreSQL, MongoDB) and data modeling principles.
Proven ability to design, build, and maintain scalable data pipelines and workflows using tools like Apache Airflow or similar.
Hands-on experience with data warehouse and lakehouse architectures (e.g., Experience with big data frameworks (e.g., AWS, Azure, or GCP).