
Aerospace âą Automotive âą 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
đ Aerospace
February 3
Airflow
Amazon Redshift
Apache
AWS
Cloud
Kafka
NoSQL
Numpy
Open Source
Pandas
Postgres
Python
RDBMS
Scikit-Learn
Spark
SQL

Aerospace âą Automotive âą 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
đ Aerospace
âą You'll be joining our pricing and underwriting domain to bridge the gap between machine learning/data science and engineering. âą You'll be joining forces with data scientists and machine learning engineers to craft technical solutions tailored to real-world business opportunities. âą You'll have the opportunity to work in areas like Data Architecture, Feature Engineering, Optimisation and Data Governance applying your Data Engineering industry expertise.
âą 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. âą Experience in Data Lake / Big Data Analytics platform implementation with cloud based solution; AWS preferred. âą Proficient in Python programming and software engineering best practices. âą Expertise with RDBMS, Data Warehousing, Data Modelling with relational SQL (Redshift, PostgreSQL) and NoSQL databases. âą Proficiency in DevOps, CI/CD pipeline management, and expertise in infrastructure as Code (IaC) deployment industry-best practices. âą Hands-on experience in Data Quality and Data Governance techniques. âą Knowledge on MLOps and Feature engineering. âą Exposure to common data analysis and ML technologies such as on scikit-learn, pandas, NumPy, XGBoost, LightGBM. âą Exposure to tools like Apache Oozie, Apache Airflow.
âą Private medical insurance âą Discounted gym memberships âą Wellbeing initiatives
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