Senior Python Developer

Key Attributes: Adaptability & Agility

• Thrive in a fast-paced, ever-evolving environment with shifting priorities.
• Demonstrated ability to quickly learn and integrate new technologies and frameworks.
• Strong problem-solving mindset with the ability to juggle multiple priorities effectively.

Core Responsibilities

• Design, develop, test, and maintain robust Python applications and data pipelines using Python/Pyspark.
• Define and implement smart data pipelines from RDBMS to Graph Databases.
• Build and expose APIs using AWS Lambda and ECS-based microservices.
• Collaborate with cross-functional teams to define, design, and deliver new features.
• Write clean, efficient, and scalable code following best practices.
• Troubleshoot, debug, and optimise applications for performance and reliability.
• Contribute to the setup and maintenance of CI/CD pipelines and deployment workflows if required.
• Ensure security, compliance, and observability across all development activities.

All you need is...

Required Skills & Experience

Expert-level proficiency in Python with a strong grasp of Object oriented & functional programming.

Solid experience with SQL and graph databases (e.g., Neo4j, Amazon Neptune).

Hands-on experience with cloud platforms – AWS and/or Azure is a must.

Proficiency in PySpark or similar data ingestion and processing frameworks.

Familiarity with DevOps tools such as Docker, Kubernetes, Jenkins, and Git.

Strong understanding of CI/CD, version control, and agile development practices.

Excellent communication and collaboration skills.

Desirable Skills

Experience with Agentic AI, machine learning, or LLM-based systems.

Familiarity with Apache Iceberg or similar modern data lakehouse formats.

Knowledge of Infrastructure as Code (IaC) tools like Terraform or Ansible.

Understanding of microservices architecture and distributed systems.

Exposure to observability tools (e.g., Prometheus, Grafana, ELK stack).

Experience working in Agile/Scrum environments.

Minimum Qualifications

6 to 8 years of hands-on experience in Python development and data engineering.

Demonstrated success in delivering production-grade software and scalable data solutions.