Company Description
When you work for John Crane, you join a community driven by pioneering spirit and a legacy of innovation. Our engineered solutions drive reliability, uptime and energy efficiency, empowering the world’s largest energy service providers to achieve sustainability goals that shape the future of our world. If you’re ready to accelerate the new energy transition through technology leadership, cutting-edge solutions and service excellence, you'll fit right in.
Job Description
Key Activities:
Develop high-quality Python applications following software engineering best practices.
Strong knowledge of math, probability, statistics, and algorithms
Perform code reviews, unit testing, integration testing, and performance testing.
Maintain technical documentation, architecture diagrams, and deployment standards.
Experience implementing DataOps, MLOps, and observability solutions.
Knowledge with the Python data science ecosystem (pandas, scikit-learn, PyTorch/Keras, etc.) and with common machine learning approaches (generalized linear models/regression, clustering,



tree-based methods, deep learning, etc.).
Participate actively in Agile ceremonies including sprint planning, backlog refinement, and retrospectives.
Collaborating with the Data Science team to achieve Data Science goals.
Key Accountabilities:
Design, build, and maintain scalable batch and real-time data pipelines.
Develop robust ETL/ELT frameworks for ingesting, transforming, validating, and serving data from multiple enterprise systems.
Working experience with REST APIs and RESTFul standards
Build and optimize data models, data lakes, and analytics-ready datasets.
Ensure data quality, lineage, governance, security, and compliance across all data platforms.
Monitor and optimize data processing performance, reliability, and cost efficiency.
Identify, analyze and create detailed records of problems that appear during testing, such as software defects, bugs, functionality issues, and output errors, and

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