Senior Data Engineer

Summary

Join our team at G-P and contribute to breaking down barriers to global business by designing and developing high-performing cloud-based software products. As a key member of our in-house engineering team, you will work on all parts of the code stack from front-end to back-end application logic. We offer competitive compensation and benefits, as well as opportunities for personal growth and career development.

Requirements

• Extensive experience in developing data and analytics applications in geographically distributed teams
• Hands-on experience in using modern architectures and frameworks, structured, semi-structured and unstructured data, and programming with Python
• Hands-on SQL knowledge and experience with relational databases such as MySQL, PostgreSQL , and others
• Hands-on ETL knowledge and experience
• Knowledge of commercial data platforms (Databricks, Snowflake) or cloud data warehouses (Redshift, BigQuery)
• Knowledge of data catalog and MDM tooling (Atlan, Alation, Informatica, Collibra)
• CICD pipeline for continuous deployment (CloudFormation template)
• Knowledge of how machine learning / A.I. workloads are implemented in batch and streaming, including the preparing of datasets, training models, and using pre-trained models
• Exposure to software engineering processes that can be applied to Data Ecosystems
• Excellent analytical and troubleshooting skills
• Excellent communication skills
• Excellent English (both verbal and written)
• BS. in Computer Science or equivalent

Responsibilities

• Design and develop our best-in-class cloud platform
• Develop solutions across the data and analytics stack from ETL and Streaming data
• Design and develop reusable libraries
• Enhance strong processes in Data Ecosystem
• Write unit and integration tests