Senior Data Engineer

Summary

Join G-P, a leading SaaS-based Global Growth Platform, and become part of a diverse, remote-first team building the world's top-rated global employment platform. We are a strong advocate of DevOps culture, and this role involves designing and developing our cloud platform, working on all parts of the code stack. You will develop solutions across the data and analytics stack, design reusable libraries, enhance data ecosystem processes, and write unit and integration tests. We offer competitive compensation and benefits, and the opportunity to expand your skills and help reshape the future of work. This position requires extensive experience in developing data and analytics applications in geographically distributed teams and hands-on experience with modern architectures and frameworks. A BS in Computer Science or equivalent is required.

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, working on all parts of the code stack from front-end, REST and asynchronous APIs, back-end application logic, SQL/NoSQL databases and integrations with external systems
• 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