Backend Developer for Large-Scale Data Solutions

14 hours ago

Lahore, Punjab, Pakistan beBee Careers Full time
Job Description

We are seeking a highly skilled Backend Developer to join our team. The ideal candidate will have expertise in Python backend development, with a strong focus on handling large datasets in SQL databases.

The successful applicant will excel in building scalable backend systems, optimizing data-heavy processes, and writing efficient Python scripts for automation and data manipulation.

Key Responsibilities:
  1. Data Handling and Automation: Develop, maintain, and optimize Python scripts for backend processes, data handling, and automation.
  2. Web Application Development: Build and scale web applications and RESTful APIs using Flask and FastAPI.
  3. Database Management: Design and implement efficient solutions for managing and querying large datasets in SQL databases, e.g., PostgreSQL, MySQL.
  4. SQL Query Optimization: Write high-performance SQL queries and optimize database structures to handle large volumes of data.
  5. Collaboration: Collaborate with data engineers, product managers, and frontend developers to define requirements and ensure smooth integration of large datasets across the system.
Requirements:

To be successful in this role, you will need:

  1. Python Expertise: 3+ years of professional experience with Python, focusing on backend development, scripting, and data automation.
  2. Flask and FastAPI: Strong expertise in Flask and FastAPI frameworks.
  3. Large Dataset Experience: Proven experience in handling large datasets using SQL databases, including writing complex queries and optimizing for performance.
  4. Database Management: Deep understanding of database management principles, indexing, and query optimization for big data.
  5. Concurrency and Task Queues: Experience with asynchronous programming, concurrency, and task queues, e.g., Celery, Redis.
  6. Clean Code: Ability to write clean, logical, and reusable Python code, focusing on performance and scalability.
  7. Containerization: Familiarity with containerization tools such as Docker and orchestration with Kubernetes is a plus.
  8. Version Control: Proficiency in version control systems (Git) and collaborative development workflows.
  9. Analytical Skills: Strong analytical skills and problem-solving ability, particularly when working with large-scale data solutions.

Nice-to-Have:

  1. Other Python Frameworks: Experience with other Python web frameworks, Django, Tornado.
  2. Data Pipeline Tools: Knowledge of data pipeline tools, ETL frameworks, or big data technologies, e.g., Spark, Hadoop, is a plus.
  3. Cloud-Based Databases: Familiarity with cloud-based databases or large-scale database management, e.g., AWS RDS, Google Cloud SQL.

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