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(2 - 4 Years) "Emerson" Hiring: Python Application Developer On Dec 2019 @ Pune



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Company:         Emerson

Website:           www.emerson.com

Eligibility:        B.E/Post Graduate

Experience:      2 - 4 yrs

Location:           Pune

Job Role:         Python Application Developer

JOB SUMMARY:

Company Profile:

Emerson Professional Tools and Emerson Storage Solutions were consolidated into Emerson Commercial & Residential Solutions in 2012.) You can also visit our Home Page, or click on the navigation topics listed above, view our Site Map, or use our Search box in the upper right top area of this page.

Job Description:
1. Development of Data Analysis, Data Processing engines using Python

2. Development of REST API using Python

3. Development & Deployment of applications on AWS/Azure

4. Ability to do POCs on new tech stack and to integrate the same in the applications on functional level

5. Ability to understand the business requirements, system architecture and process guidelines

6. Ability to code for multiple projects at a time

7. Ability to code for complex requirements under tight timelines

8. Ability to work with cross functional / domain teams

9. Ability to handle end to end projects on individual basis

Candidate Profile:
Qualification:
B.E or Post Graduate in –Computer Science, Electronics & Instrumentation.

Experience:
1. Exp 2 to 4 Yrs. with minimum 2 yrs. In python development (Mandatory)

2. Minimum 1 year of experience working with python > 3.x

3. Minimum 1 year of implementing and delivering projects using CI/CD tools such as git, Jenkins, docker, Kubernetes, Kubeflow Pipelines, etc.

4. Minimum of 1-year experience in building microservices and web API

Technical Skills:
1. Hands on experience using numpy and pandas

2. Experience working with PostgreSQL database will be added advantage.

3. Experience working with Node JS and Node-Red will be added advantage.

4. Devops experience and mindset is a big plus.

5. Some experience using Google-OR tools would be an added advantage

6. Exposure to building ETL pipelines and data integration; machine learning and NLP would be an added advantage.

 













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