Position: Data Engineer (Python) for Commercial Real Estate project
Company: GlobalLogic
Experience required: 1y
English level: upper

**Requirements:**
- Proficient in Python development
- Experience in data processing (Spark/PySpark, Apache Flink, etc)
- Experience in implementing ETL processes and building data pipelines
- Upper-Intermediate English level, both spoken and written
 
Nice to have
- Experience with Big Data tools
- Experience with any public cloud (AWS, GCP, or Azure)
- We Use: Databricks, Azure.
**
Responsibilities:**
- Build python libraries and modules that will enable a highly scalable data processing pipeline for various applications such as Bulk Ingestion, Real Time Streaming Applications, and AI/ML-based insights
- Build applications and write code that meets the high-quality standards and scale horizontally in a cloud environment
- Collaborating with the Dev Leads and Product Manager to ensure that the requirements are meet
- Ensure applications are tested through the usage of automated test tools
- Delivering a well-instrumented system that provides insights into Operational Metrics and helps in resolving issues
- Utilize Agile practices to manage and delivers feature