Prima Power
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
Data Engineer - Pricing & Underwriting
Job not on LinkedIn
February 3
Airflow
Amazon Redshift
Apache
AWS
Cloud
Kafka
NoSQL
Numpy
Open Source
Pandas
Postgres
Python
RDBMS
Scikit-Learn
Spark
SQL
Prima Power
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. • You'll be joining forces with data scientists and machine learning engineers to craft technical solutions tailored to real-world business opportunities. • You'll have the opportunity to work in areas like Data Architecture, Feature Engineering, Optimisation and Data Governance applying your Data Engineering industry expertise.
🎯 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. • 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
• Private medical insurance • Discounted gym memberships • Wellbeing initiatives
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