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Python Developer: Hyderabad: 5-9yrs: Altimetrik

Python Developer: Hyderabad: 5-9yrs: Altimetrik

Altimetrik

5 - 9 years

25 - 32 Lacs

hyderabad

Posted:3 weeks ago| Platform:

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Skills Required

pyspark aws python fastapi swagger scala open api ci/cd flask sql

Work Mode

Hybrid

Job Type

Full Time

Job Description

Interested ones share CV and below details to snidafazli@altimetrik.com

JD mentioned Below

Name(as per aadhar card):

Number:

EmailID:

Current CTC:

Fixed CTC:

Expected CTC:

holding any offers:

Current Company:

Payroll Company:

Notice PEriod:

Mention exact LWD:

Current Location:

ok for Hyderabad:

Total Experience:

Relevant Experience please mention in years below,

Python:

Flask/Fast API:

Swagger/OpenAPI:

AWS:

SQLAlchemy:

Pyspark/Scala:

Unit Testing:

CI/CD:

Role: Senior Python Developer

Job Responsibilities

- Design & build backend components of MLOps platform on AWS.

Fast API and Flask skill

Build and extend back-end services using Python, Flask, SQLAlchemy and Swagger/OpenAPI

- Collaborate with geographically distributed cross-functional teams.

- Participate in on-call rotation with the rest of the team to handle production incidents.

Knowledge, Skills and Experience

Python Programming
AWS Services
Flask
Spark Programming knowledge (Pyspark/Scala)
Async Programming
boto3

Required Qualifications

. Must have 5 to 9 years of working experience in Python programming with flask, FastAPI

Build and extend back-end services using Python, Flask, SQLAlchemy and Swagger/OpenAPI

Experience working with WSGI & ASGI web servers such as Gunicorn, Uvicorn etc.
Experience with concurrent programming designs such as AsyncIO.
Experience with unit and functional testing frameworks.
Experience with any of the public cloud platforms like AWS, Azure, GCP, preferably AWS.
Experience with CI/CD practices, tools, and frameworks.
Should be a team player working with Cross Geography team

Preferred Qualifications

Experience with Apache Kafka and developing Kafka client applications in Python.
Experience with MLOps platforms such as AWS Sagemaker, Kubeflow or MLflow.
Experience with big data processing frameworks, preferably Apache Spark.
Experience with container platforms such as AWS ECS or AWS EKS.
Experience with DevOps & IAC tools such as Terraform, Jenkins etc.
Experience with various Python packaging options such as Wheel, PEX or Conda.

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