Data Engineer Software Engineer Ii Lead Multinational Retailing Convenience Store Company T1028
Your work may be:
- Performing systems integration design and development, cloud architecture design (Azure)
- Building sizing and cost models for Cloud Services (Azure)
- Review enhancement requests and recommend best solution to stakeholders as SME.
- Implementing system enhancements
- Plan and direct Dev Ops implementation and system hardware/software updates for maximum performance and stability.
You may also work on the BI dashboards to support retail stores and the Azure AI platform that runs the personalized consumer experiences used by millions each day.
This is a hands-on position: 90% of your time will be application design or coding, the rest code is code testing, review and deployment.
- Full Azure Cloud toolset (PowerBI/Data Lake/ Azure Databricks / Azure SQL Data Warehouse)
- Broad Cloud Platform knowledge (AWS, Azure, GCP)
- Python/SQL
- Spark (Python/SQL)
- Understanding and experience with relational and NoSQL database principles.
- CI/CD and Dev Ops
- Data Application design with cloud micro-services and CI/CD (Docker, etc) principles.
Basic requirements:
- 7 + Years back end development
- 5 + Years or demonstrated mastery of Python development.
- 5 + Years experience with Apache Spark and Databricks cloud tool sets (AWS or Azure)
- 1 + Years experience with GCP/Azure Cloud Big Data tools (PowerBI/Data Lake/ Azure Databricks / Azure SQL Data Warehouse)
- Expert knowledge of Big Data technologies in general.
- Proficiency in API security frameworks, token management and UAC including OAuth, JWT etc.
- Bachelors degree in computer science or engineering.