Python Developer - Senior Specialist
Role details
Job location
Tech stack
Job description
Seeking a Senior Python Developer (Specialist) with 7-11 years of experience in Python and SQL to design, develop, and maintain advanced Python-based data solutions. This role focuses on building scalable, high-performance data processing and analytics applications, collaborating closely with data scientists, analysts, and DevOps teams to transform business requirements into robust, maintainable code., You will design, develop, and maintain scalable Python applications centered around data processing, analysis, and workflow automation. You will implement efficient data pipelines and workflows using modern Python libraries and frameworks, optimize code for performance and scalability in data-intensive environments, and ensure adherence to best practices, code quality, and documentation standards.
You will also mentor junior developers, lead architecture and design discussions, and troubleshoot complex production issues in Python-based data systems.
Roles and Responsibilities
- Lead the development of Python-based data solutions, ensuring adherence to best practices, coding standards, and architectural guidelines.
- Design, build, and maintain scalable Python applications focused on data processing, transformation, and analytics.
- Implement efficient data pipelines and workflows using Python libraries and frameworks (e.g., Pandas, NumPy, PySpark, Airflow, Celery, etc.).
- Collaborate with data scientists, analysts, product managers, and DevOps to translate business requirements into technical data solutions.
- Optimize Python code for performance, memory efficiency, and scalability in data-intensive environments.
- Ensure code quality through unit testing, integration testing, and code reviews.
- Document technical designs, data workflows, development processes, and data lineage clearly and thoroughly.
- Mentor and guide junior developers, enhancing their Python programming and data engineering skills.
- Troubleshoot and resolve complex production issues related to Python applications and data processing pipelines.
- Participate in architecture and design discussions to improve data platform capabilities, scalability, and reliability.
- Conduct code reviews to maintain high quality and consistency across Python projects.
- Support continuous integration and deployment (CI/CD) pipelines for Python data applications.
- Analyze system performance and implement improvements to enhance reliability, efficiency, and maintainability.
Requirements
- 7-11 years of experience in Python development and SQL.
- Strong experience building data-driven Python applications and data processing pipelines.
- Proficiency with Python data libraries and frameworks (e.g., Pandas, NumPy, PySpark, SQLAlchemy, etc.).
- Experience with workflow orchestration tools such as Apache Airflow, Luigi, Celery, or similar.
- Strong SQL skills for querying and optimizing database interactions.
- Experience with unit testing and integration testing frameworks (e.g., pytest, unittest).
- Familiarity with CI/CD practices and tools for Python applications.
- Strong problem-solving and troubleshooting skills, especially in data-intensive environments.
- Excellent communication and collaboration skills with cross-functional teams.
Nice-to-Have Skills
- Experience with cloud platforms (AWS, Azure, or Google Cloud Platform) for data engineering and deployment.
- Experience with big data tools (e.g., Spark, Hadoop, Kafka, Databricks, etc.).
- Exposure to data quality, data lineage, and data governance concepts.
- Familiarity with DevOps and containerization tools (Docker, Kubernetes, etc.).
Keywords: Python Developer, Senior Python Developer, Python Software Developer, Python Specialist, Python Data Developer, Data Engineering, Python Application Development, Python Programming, SQL, Python SQL, Pandas, NumPy, PySpark, Apache Airflow, Celery, Data Pipeline, Data Processing, Data Analysis, Python Libraries, Python Frameworks, Unit Testing, Integration Testing, pytest, unittest, CI/CD, Continuous Integration, Continuous Deployment, Code Reviews, Code Quality, Python Code Optimization, Performance Optimization, Scalability, Data-Intensive Applications, Data Processing Workflows, Data Orchestration, Data Quality, Data Governance, Data Lineage
