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.