Python Developer with Django expereince

We are looking for Python Developer with Django experience , need candidates with 5+ yrs for Chennai location.

Interview Mode: Virtual & F2F

Work Mode: Hybrid

Interested candidates can send their resume to [email protected]

Must-have:

• 5+ years of professional experience in Python Programming (OOP, decorators, code quality & security, performance optimization)

• Python environment building : strong uv skills, pip, mamba, micromamba,

• ML engineering: MLOps, model versioning, deployment.

• Containerization & orchestration: Docker, Kubernetes (scaling, resource management).

• CI/CD pipelines: Jenkins, GitLab CI/CD (advanced workflows, artifact management).

• Linux/Cloud infrastructure: Bash scripting, system administration, troubleshooting.

• Database systems: PostgreSQL (query optimization, schema design).

• Monitoring & incident management: Advanced logging & analysis, debugging complex issues.

• Denodo Platform Proficiency Ability to configure, query, and optimize virtual data layers using Denodos data virtualization tools, including creating logical views, data services, and API integrations.

• Strong SQL skills to write efficient queries in Denodo’s VQL (Virtual Query Language) and optimize data retrieval for AI model training and validation.

• Data Virtualization & Integration – Experience in connecting disparate data sources (e.g., databases, APIs, ETL pipelines) via Denodo to enable seamless data exploration for AI/ML workflows.

• Airflow DAG Development & Orchestration – Ability to design, implement, and maintain scalable Directed Acyclic Graphs (DAGs) for AI/ML pipelines, including task dependencies, retries, and dynamic workflow generation

• Airflow Integration & Optimization – Experience in:

• Connecting Airflow to data platforms (Denodo, PostgreSQL, S3, etc.) and ML tools (e.g., MLflow, Kubeflow) via hooks, custom operators, or APIs.

• Optimizing performance through parallelism tuning, executor selection (Celery/Kubernetes), and efficient XComs/artifact handling for large-scale workflows.