Senior Python Developer(Big Data)

2 days ago

Kolkata, West Bengal, India Xfusion Technologies Full time ₹ 10,00,000 - ₹ 25,00,000 per year

About the Role

We are seeking a Senior Python Developer to lead the development of scalable, high-performance backend systems and data-driven applications. You will work on building robust services, APIs, and data workflows that power real-time and batch applications.

This role is ideal for a seasoned developer who thrives on solving complex problems, building reliable software, and working across data and engineering teams. Youll play a key role in designing and developing Python-based systems that interface with big data frameworks, cloud platforms, and analytics tools.

Key Responsibilities

  • Design and develop robust Python-based backend services and microservices.
  • Build RESTful APIs and integrations with third-party systems and internal tools.
  • Work with data workflows involving ingestion, transformation, and validation.
  • Develop and maintain ETL/ELT pipelines using Python, SQL, and Airflow.
  • Collaborate with DevOps teams to deploy, monitor, and scale applications in cloud environments (AWS, Azure, GCP).
  • Optimize code for performance, scalability, and maintainability.
  • Write unit and integration tests, participate in code reviews, and follow CI/CD best practices.
  • Work with cloud storage, databases, and data lake technologies like S3, Parquet, and DuckDB.
  • Collaborate with data scientists, analysts, and engineers to enable data access and modeling.

Required Skills & Qualifications

  • 7+ years of experience in backend software development, primarily in Python.
  • Strong understanding of OOP, modular design, and Python design patterns.
  • Experience with web frameworks (e.g., Flask, FastAPI, Django).
  • Hands-on experience with data processing tools like Pandas, SQLAlchemy, PyArrow.
  • Proficiency with SQL and database technologies (PostgreSQL, DuckDB, etc.).
  • Experience with Airflow for workflow orchestration.
  • Knowledge of building scalable, distributed applications and microservices.
  • Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes).
  • Solid understanding of version control (Git), testing frameworks (PyTest), and CI/CD pipelines.
  • Excellent problem-solving, debugging, and communication skills.

Preferred Skills (Nice to Have)

  • Experience with data processing frameworks like Apache Spark or Vaex.
  • Familiarity with data storage formats and tools like Parquet, Iceberg.
  • Exposure to data streaming platforms (Kafka, Kinesis, Flink).
  • Experience integrating backend systems with AI/ML pipelines or BI platforms.
  • Understanding of security standards and compliance (GDPR, HIPAA, SOC2).
  • Background in metadata-driven or event-driven architectures.

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