Key Responsibilities :

- Design, develop, and maintain scalable backend applications using Python.

- Build and support systems capable of handling large datasets and distributed workloads.

- Apply strong Object-Oriented Programming (OOP) principles and software engineering best practices.

- Develop complex SQL queries and perform query optimization and database performance tuning.

- Work with data warehousing solutions and modern data architecture.

- Develop scalable and reliable data processing and integration solutions.

- Work with cloud platforms including GCP and AWS.

- Implement and maintain CI/CD pipelines and follow DevOps best practices.

- Ensure data quality, integrity, accuracy, and reliability through validation and monitoring.

- Implement appropriate data governance, security, and compliance practices.

- Monitor production systems and troubleshoot complex data and application issues.

- Perform root-cause analysis and implement long-term solutions for production problems.

- Collaborate with engineering, data, DevOps, and business teams to deliver scalable solutions.

Mandatory Skills :

- Python

- Strong OOP concepts

- Distributed Systems

- Large-scale Data Processing

- SQL

- SQL Query Optimization & Performance Tuning

- Data Warehousing

- Modern Data Architecture

- AWS

- GCP

- CI/CD

- DevOps Practices

- Data Quality & Validation

- Data Governance & Security

Preferred Candidate Profile:

- Strong backend engineering experience with Python.

- Experience working with data-intensive and distributed applications.

- Strong analytical and debugging skills.

- Good understanding of cloud-native application development.

- Ability to troubleshoot complex production issues.

- Strong understanding of data reliability, security, and compliance.

- Excellent communication and collaboration skills.