We are looking for a talented Data Engineer and AI Deployment Engineer to join our innovative team. The ideal candidate will have a strong foundation in data engineering and AI deployment, with hands-on experience in creating and deploying data pipelines, working with data lakes, and performing ETL processes. You will be responsible for designing, implementing, and maintaining scalable data and AI solutions to support our business needs.
Join our team in designing and deploying AI solutions to enhance the cost, quality, and efficiency of manufacturing and development processes.

Key Responsibilities:
Design, develop, and maintain data pipelines using Python, PySpark, and SQL.
Implement ETL processes to extract, transform, and load data from various sources.
Deploy and manage containerized applications using Docker.
Develop and maintain CI/CD pipelines to automate deployment processes.
Collaborate with cross-functional teams to understand data and AI requirements and deliver solutions.
Deploy and manage AI/ML models in production environments.
Create and manage data lakes to store and process large volumes of data.

Required Skills:
Proficiency in Python, PySpark, RDBMS, and SQL.
Hands-on experience writing optimized PySpark and SQL scripts using best practices.
Experience in creating and deploying data pipelines.
Knowledge of data lake architecture and management.
Strong understanding of ETL processes.
Hands-on experience with Docker and Git.
Experience in CI/CD pipeline development and maintenance.
Strict adherence to software development best practices.
Excellent communication skills in English with an independent and team-focused working style.
Knowledge of Palantir.
Familiarity with data streaming services like Apache Kafka, RabbitMQ, etc.
Experience with Azure DevOps pipelines.
Experience with Apache Airflow.
Exposure to AI/ML and MLOps.