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Engaged Employer

Exponentia.ai

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4.1

based on 118 Reviews

81 Exponentia.ai Jobs

Data Application Developer

Exponentia Team

4.1

based on 118 Reviews

2-8 years

Mumbai

1 vacancy

Data Application Developer

Exponentia.ai

posted 15d ago

Job Role Insights

Flexible timing

Key skills for the job

Digital Marketing Software Configuration Management Python AWS Cloud Security Data Processing

+ 3 more

Job Description

Overview:
We are seeking a talented and driven Python Developer with expertise in building scalable applications and a strong focus on CI/CD, containerization, and automation . This role emphasizes Python application development, cloud-native deployment, and ensuring robust testing and automation frameworks. The ideal candidate will have a deep technical foundation, experience with modern DevOps practices, and the ability to work collaboratively in a fast-paced environment.

Key Responsibilities:

Develop and optimize Python-based applications , ensuring high performance and scalability.
Design and implement CI/CD pipelines to automate application deployment and integration processes.
Containerize applications using Kubernetes and manage deployments with Helm Charts .
Implement best practices for application testing, including unit testing, integration testing, and test automation .
Utilize templating frameworks to improve development efficiency and maintainability.
Develop and maintain ETL workflows , ensuring efficient data ingestion and transformation.
Collaborate with cross-functional teams to integrate applications with various data sources and APIs.
Monitor, troubleshoot, and optimize application performance, ensuring reliability and security.
Participate in code reviews, team discussions, and knowledge-sharing initiatives to drive technical excellence.

Skills Required:

Programming: Strong proficiency in Python , with experience in frameworks such as Flask, FastAPI, or Django.
CI/CD Pipelines: Hands-on experience with Bitbucket, Code Build, Code Pipeline or similar tools for automated build and deployment.
Containerization Orchestration: Experience with Docker, Kubernetes, and Helm Charts for deploying and managing applications.
Testing Automation: Strong knowledge of unit testing, integration testing, and test automation frameworks such as PyTest.
Templating Frameworks: Experience with Jinja2 or similar frameworks for dynamic configuration management.
Cloud Expertise: Understanding of AWS services (e.g., S3, Lambda, RDS) and infrastructure best practices.
Version Control: Proficiency in Git and experience working in a collaborative development environment.
Problem-Solving Collaboration: Strong analytical skills, excellent communication, and ability to work effectively in a team.
Good to have : ETL Data Processing Exposure: Familiarity with data transformation, ingestion techniques, and working with data pipelines. Code-Commit experience is desirable

Role Requirements:

Experience: 3-5 years of experience in Python application development , CI/CD, and cloud-based deployment.
Technologies: Python, CI/CD (Bitbucket, Code Build, Code Pipeline), Kubernetes, Helm Charts, AWS, ETL, Templating Frameworks.
Additional Knowledge: Experience with distributed systems, API development, and cloud security best practices, Code-Commit is a plus.