
Senior Data Engineer
2 weeks ago
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
DataOPS - Python Core Advanced - Development and Data Pipelining - Data Structures, Pandas, Numpy, sklearn, concurrency, design patterns
DevOPS - App Deployment using CI/CD tools like Jenkins, Jfrog, Docker, Kubernetes, Openshift Container Platform
Microservices & REST APIs - FastAPI, Flask, Tornado
Cloud how apps are build and deployed using cloud
Databases & SQL Postgres, Clickhouse, MongoDB
Caching & Queuing - Pub/Sub(RabbitMQ), Redis
Operating system - Linux and windows
Monitoring and Logging Splunk
Keywords
FastAPI,Flask,Tornado,Jenkins,Jfrog,Docker,Kubernetes,Openshift Container Platform,Pandas,Fast,Django API,Middleware,SQL,Python*Mandatory Key Skills
FastAPI,Flask,Tornado,Jenkins,Jfrog,Docker,Kubernetes,Openshift Container Platform,Pandas,Fast,Django API,Middleware,SQL,Python*
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