Software Engineer

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May 23

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Prima Power

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Aerospace • Automotive • Manufacturing

Prima Power is a leading provider of high-performance machines and automated solutions designed to enhance productivity in sheet metal working. They specialize in advanced technologies such as laser cutting, punching, and robotic solutions, providing a modular approach to manufacturing that integrates seamlessly into clients' production processes. With a customer-focused philosophy, Prima Power aims to support businesses across various industries by improving production efficiency and capabilities.

1001 - 5000 employees

🚀 Aerospace

📋 Description

• You’ll be joining our pricing and underwriting domain to bridge the gap between machine learning/data science and engineering. • With a focus on data challenges, you’ll be joining forces with data scientists and machine learning engineers to craft technical solutions tailored to real-world business opportunities, drive transformative solutions, and play a pivotal role in shaping the future with us. • You will have the opportunity to work in areas like Data Architecture, Feature Engineering, Optimisation and Data Governance applying your Data Engineering industry expertise and proficiencies to tailor them to Prima's specific scenarios and innovating when faced with gaps in existing knowledge.

🎯 Requirements

• Expert in batch, distributed data processing and near real-time streaming data pipelines with technologies like Kafka, Flink, Spark etc. Experience in Databricks is a plus. • Experience in Data Lake / Big Data Analytics platform implementation with cloud based solution; AWS preferred. • Proficient in Python programming and software engineering best practices. • Expertise with RDBMS, Data Warehousing, Data Modelling with relational SQL (Redshift, PostgreSQL) and NoSQL databases. • Proficiency in DevOps, CI/CD pipeline management, and expertise in infrastructure as Code (IaC) deployment industry-best practices. • Nice to have: • Hands-on experience in Data Quality and Data Governance techniques. • Knowledge on MLOps and Feature engineering. • Exposure to common data analysis and ML technologies such as on scikit-learn, pandas, NumPy, XGBoost, LightGBM. • Exposure to tools like Apache Oozie, Apache Airflow.

🏖️ Benefits

• Working in a way that works for you • The freedom to explore the possibilities • Our winning formula: happy and high-performing