We are hiring for below position.
Job Title: Python Developer
Location: Charlotte, NC (Onsite From Day 1)
Client Wells Fargo ( We are working with Prime Vendor)
Duration: Long Term
Visa Independent Candidate No C2C
Job Summary
Seeking a Senior Python Developer (Specialist) with 7 10 years of experience in Python and SQL to design, develop, and maintain advanced Pythonbased data solutions. This role focuses on building scalable, highperformance data processing and analytics applications, collaborating closely with data scientists, analysts, and DevOps teams to transform business requirements into robust, maintainable code.
Job Description
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 dataintensive 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 Pythonbased data systems.
Roles and Responsibilities
Lead the development of Pythonbased 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 dataintensive 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.
Required Skills
7 10 years of experience in Python development and SQL.
Strong experience building datadriven 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 problemsolving and troubleshooting skills, especially in dataintensive environments.
Excellent communication and collaboration skills with crossfunctional teams.
NicetoHave 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.).
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