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Job Description – Python Lead (G6)
Role: Python Lead
Experience: 9–12 Years
Education: 15 years of regular education (Mandatory)
We are looking for an experienced Python Lead with strong expertise in building scalable data processing applications and leading development initiatives. The ideal candidate should have hands-on experience in Python, SQL, Apache Airflow, FastAPI, Snowflake, and modern CI/CD practices. You will be responsible for designing and developing high-performance data solutions, REST APIs, and ETL/ELT pipelines while mentoring development teams and ensuring best coding practices.
Design, develop, and maintain scalable Python applications.
Build and optimize large-scale data processing solutions.
Develop and manage ETL/ELT pipelines using Apache Airflow.
Design and develop REST APIs using FastAPI.
Write optimized SQL queries and work extensively with Snowflake.
Develop unit and integration test cases using Pytest.
Implement version control and CI/CD pipelines using GitLab.
Troubleshoot performance issues and optimize existing applications.
Mentor team members and ensure adherence to coding standards.
Collaborate with cross-functional teams to deliver high-quality solutions.
9–12 years of IT experience.
Strong expertise in Python application development.
Experience processing large volumes of data.
Hands-on experience with Apache Airflow.
Experience with FastAPI or similar REST API frameworks.
Strong SQL knowledge.
Hands-on experience with Snowflake.
Experience with Pytest.
Good understanding of GitLab and CI/CD pipelines.
Experience in ETL/ELT development and data integration.
Strong debugging and analytical skills.
Exposure to cloud platforms (AWS/Azure/GCP).
Docker and Kubernetes knowledge.
Agile/Scrum experience.
Required
Preferred
All fields marked * are required
Job Description – Python Lead (G6)
Role: Python Lead
Experience: 9–12 Years
Education: 15 years of regular education (Mandatory)
We are looking for an experienced Python Lead with strong expertise in building scalable data processing applications and leading development initiatives. The ideal candidate should have hands-on experience in Python, SQL, Apache Airflow, FastAPI, Snowflake, and modern CI/CD practices. You will be responsible for designing and developing high-performance data solutions, REST APIs, and ETL/ELT pipelines while mentoring development teams and ensuring best coding practices.
Design, develop, and maintain scalable Python applications.
Build and optimize large-scale data processing solutions.
Develop and manage ETL/ELT pipelines using Apache Airflow.
Design and develop REST APIs using FastAPI.
Write optimized SQL queries and work extensively with Snowflake.
Develop unit and integration test cases using Pytest.
Implement version control and CI/CD pipelines using GitLab.
Troubleshoot performance issues and optimize existing applications.
Mentor team members and ensure adherence to coding standards.
Collaborate with cross-functional teams to deliver high-quality solutions.
9–12 years of IT experience.
Strong expertise in Python application development.
Experience processing large volumes of data.
Hands-on experience with Apache Airflow.
Experience with FastAPI or similar REST API frameworks.
Strong SQL knowledge.
Hands-on experience with Snowflake.
Experience with Pytest.
Good understanding of GitLab and CI/CD pipelines.
Experience in ETL/ELT development and data integration.
Strong debugging and analytical skills.
Exposure to cloud platforms (AWS/Azure/GCP).
Docker and Kubernetes knowledge.
Agile/Scrum experience.
Required
Preferred