Senior Data Engineer
1 month ago
Role : Sr Data Engineer
Experience : 8 to 10 yrs
Location : Bengaluru
JD :
- 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 - postgres/MariaDB/Clickhouse, Kubernetes, Linux/Window scheduler, Shell Script
Skillsets :
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
Good to have skills -
1. Generative AI knowledge - Langchain framework knowledge, ChatGPT knowledge
2. MLOPS knowledge - Databricks, MLFlow, Kubeflow, ClearML
3. Testing knowledge - Integration testing, Python Behave, Pytest
4. Maintaining code quality standards - working knowledge of Pylint
5. Logging - Kibana, Elastic search
(ref:hirist.tech)
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