Job description
Consultant | Backend + Python (Short Fuse) | Delhi | Engineering | Data Modernization & Migration
- Job requisition ID : 113829
- Location: Delhi
- Entity: Deloitte Touche Tohmatsu India LLP
Experience : 3-6 years
Role Summary :
We are seeking a Senior Analyst Programmer – Data Management Platform with strong expertise in Python development, REST APIs, AWS, SQL, and CI/CD practices. The role involves designing and developing scalable data management solutions, building and supporting data pipelines, automating deployments, and ensuring platform reliability through effective troubleshooting and root cause analysis.
Key Responsibilities :
Design, develop, and maintain scalable data management and integration solutions.
Build and support data pipelines, data transformation processes, and API-based integrations.
Develop and enhance applications using Python and REST APIs.
Implement and maintain CI/CD pipelines using Jenkins and related DevOps tools.
Automate build, deployment, and operational processes.
Troubleshoot production issues, perform root cause analysis, and drive resolution.
Collaborate with cross-functional teams to deliver reliable and high-performing data solutions.
Ensure adherence to engineering best practices, coding standards, and security requirements.
Must-Have Skills :
Python Development, REST API Development, Data Pipeline Development, Data Transformation, AWS, SQL / Relational Databases, Jenkins, CI/CD Pipelines, Build & Deployment Automation, Application Design & Development, Production Support & Troubleshooting, Root Cause Analysis (RCA)
Good-to-Have Skills :
Cloud Databases, Data Management Platforms, Data Quality Tools, Data Cataloging Tools, Microservices Architecture, DevOps Practices, Enterprise Data Management, Technical Mentoring, Technology Stack, Python, REST APIs, AWS, SQL, Jenkins, CI/CD, Relational Databases, Cloud Databases.
Ideal Candidate:
A hands-on developer with 5-7 years of experience in Python-based application development and data engineering, capable of building scalable data platforms, driving automation, and supporting enterprise-grade data management solutions in a fast-paced environment.