Back End Developer

JOB DUTIES & RESPONSIBILITY

• Design and implement backend services using Python, ensuring performance, scalability, and reliability.
• Post GIS for geospatial data is required, ETL Pipelines
• Timescale DB & or another time-series database, large production database & real-time data processing.
• Develop, refine, and optimize our data models, database designs, data flow, and data structures, creating robust big data systems.
• Collaborate closely with our team of engineers and product managers to define and execute our spatial product road map.
• Participate in all stages of the development process from concept to design, to execution, and support.
• Conduct comprehensive testing of new features, systems, and subsystems to ensure quality and efficiency.
• Collaborate in team brainstorming sessions, project planning, and retrospective meetings.

QUALIFICATION & SKILLSET

Minimum 4 - 5 years of experience as a Backend Developer, specifically utilizing Python. Proficiency in handling scalable systems and big data infrastructure.

Excellent communication and teamwork skills.

Bachelor's or higher degree in Computer Science, Information Systems, or a related field, or equivalent experience.

Must Have:

1. Proficient Coding Skills in Python

• Strong experience in writing clean, efficient, and maintainable Python code.
• Familiarity with popular Python frameworks and libraries(e.g., Django, Flask, Fast API, etc.).

2. Database Knowledge

• Extensive experience with relational databases, especially PostgreSQL.
• Proficient in writing optimized SQL queries, database design, and performance tuning.
• Ability to manage, scale, and maintain database systems.

3. Linux Expertise

• Solid understanding of Linux environments(Ubuntu, CentOS, or other distributions).
• Strong experience with shell scripting and system administration.
• Ability to troubleshoot server-side issues in a Linux environment.

4. Networking Knowledge

• In-depth understanding of networking concepts such as TCP/IP, DNS, HTTP/S, and load balancing.
• Experience configuring and troubleshooting networking issues in a backend system.

Good to Have:

1. Containerization with Docker

• Familiarity with Docker for containerizing applications.
• Experience in setting up and managing Docker-based environments and services.

2. Workflow Orchestration with Apache Airflow

• Knowledge of Apache Airflow for managing data pipelines and task automation.
• Experience in setting up and optimizing Airflow workflows.