About the RoleWe 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
- 5+ 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.
Job Types: Full-time, Permanent
Pay: ₹603,787.81 - ₹1,668,112.14 per year
Benefits:
- Health insurance
- Paid sick time
- Paid time off
Work Location: In person
