Data engineer, strong in Python, Solution architech At least 8+ years experience, ideally within a Data Engineer role. Demonstrated experience working with large and complex data sets as well as experience analyzing volumes of data. Excellent experience working Python, Pandas, Flask/Fast/Django API, Middleware, Scheduler, SQL, Databases. Prior experience with Python frameworks such as Django or Flask and a strong knowledge of SQL (queries, joins, etc.). Good to have some experience in AWS/Azure. Capability of developing highly-scalable RESTful APIs. Excellent team player and can work well in an individual capacity as well. Detail-oriented and possess strong analytical skills. Pays strong attention to detail and deliver work that is of a high standard. Highly goal-driven and work well in fast-paced environments. Python, RestAPI, Redis Cache, SQl ostgres/MariaDB/Clickhouse, Kubernetes, Linux/Window scheduler, Shell Script 1. DataOPS - Python Core Advanced - Development and Data Pipelining - Data Structures, Pandas, Numpy, sklearn, concurrency, design patterns 2. DevOPS - App Deployment using CI/CD tools like Jenkins, Jfrog, Docker, Kubernetes, Openshift Container Platform 3. Microservices & REST APIs - FastAPI, Flask, Tornado 4. Cloud how apps are build and deployed using cloud 5. Databases & SQL Postgres, Clickhouse, MongoDB 6. Caching & Queuing - Pub/Sub(RabbitMQ), Redis 7. Operating system - Linux and windows 8. Monitoring and Logging Splunk
