Sr Python Data Engineer with Pandas, Flask/Fast/Django API, Middleware, Loc: Bangalore, Exp: 8-10

Hiring: Urgent immediate resources need for Sr Python Data Engineer with Python, Pandas, Flask/Fast/Django API, Middleware, Scheduler, SQL, Databases, Location: Bangalore, Exp: 8-10 Years.

Notice Period: Immediate joiners are preferred.

Dear Job Seekers,

We are looking for a Sr Python Data Engineer with Python, Pandas, Flask/Fast/Django API, Middleware, Scheduler, SQL, Databases, Location: Bangalore, Exp: 8-10 Years

Position Title: Sr Python Data Engineer with Python, Pandas, Flask/Fast/Django API, Middleware, Scheduler, SQL, Databases

Location: Bangalore

Experience: 8-10 Years

Notice Period: Immediate joiners are preferred

Job Description:

Role: Sr Data Engineer

Location: Bengaluru

Experience: 8 to 10 yrs

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 someexperience 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

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

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