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As a senior Python and PySpark developer, your challenge is to architect and deliver scalable, high-performance data processing solutions that empower data-driven decision-making. You will tackle complex data integration, transformation, and analytics workloads by designing robust applications, optimizing SQL queries, and streamlining workflows. Your expertise will enable the organization to leverage cloud-scale data platforms effectively, maintain high code quality through rigorous testing, and foster collaboration within agile teams to innovate and maintain cutting-edge data solutions.
Responsibilities
- Design, develop, and maintain robust Python and PySpark applications to support large-scale data processing, transformation, and analytics initiatives.
- Implement and execute unit testing and code quality checks using tools like Pytest and Pylint to ensure reliable and maintainable codebases.
- Design, optimize, and troubleshoot complex SQL queries, primarily in tSQL, to support data extraction, transformation, and loading processes.
- Develop and manage data integration workflows utilizing ETL/ELT frameworks, enterprise schedulers, and scripting in Python and other relevant tools.
- Collaborate with cross-functional teams to gather requirements, create high-level system specifications, and produce detailed design documents for data solutions.
- Implement RESTful API integrations to connect various data sources and applications, ensuring seamless data flow and accessibility.
- Lead and contribute to agile development processes, participating in sprint planning, stand-ups, and code reviews to ensure timely delivery of features.
- Leverage frameworks such as Django, Flask, Pyramid, or Tornado to build scalable web applications or APIs as needed.
- Utilize version control systems like Git, and manage development pipelines to support continuous integration and deployment.
- Apply best practices in software architecture, data structures, and algorithms to optimize application performance and scalability.
- Coordinate with enterprise teams on scheduling and automation tasks using enterprise schedulers and SSIS, enhancing operational efficiency.
- Lead technical discussions and influence stakeholders to adopt best practices and innovative solutions for data processing and application development.
- Maintain thorough documentation of system architecture, design specifications, and coding standards to support ongoing maintenance and knowledge sharing.
- Stay updated on emerging technologies and industry trends to recommend improvements and ensure the solutions remain cutting-edge.
Requirements
- At least 10 years of Experience in Python development
- Must have hands-on experience in Python and Pyspark
- Experience in Python testing and code analysis tools like Pytest and Pylint
- At least 5 years of fulltime development experience using Python.
- At least 5 years working with tSQL, XML and enterprise schedulers
- Proficient understanding of algorithms, data structures, architectural design patterns and best practices
- Extensive experience in software development and the entire SDLC.
- Solid understanding of a variety of programming tools and development platforms.
- Excellent organizational and leadership abilities.
- Highly analytical mindset, with an ability to see both the big picture and the details.
- Experience in creating high level product specifications and design documents.
- Proven collaboration and influencing skills
- Experience in writing Python applications with the benefit of frameworks like Django, Flask,
- Pyramid, or Tornado.
- Integration experience (ETL, ELT) with Python
- Familiarity with SSIS would be helpful
- General development expertise, use of version control, ticketing, and continuous integration systems.
- Experience in an Agile Development environment
- Experience in consuming API's (i.e. Rest, etc.)
Preferred, But Not Required
- Detail-oriented, ability to turn deliverables around quickly with a high degree of accuracy
- Strong analytical skills, ability to interpret business requirements and produce functional and technical design documents.
- Good time management skills – Ability to prioritize and multi-task, handling multiple efforts at once.
- Strong desire to understand and learn domain.
- Experience in a financial services/banking industry
- Ability to work in a fast-paced environment; to be flexible and learn quickly.
- Ability to multi-task with attention to detail/ prioritize tasks.
Seniority level
Seniority level
Mid-Senior level
Employment type
Job function
Job function
Engineering and Information TechnologyIndustries
IT Services and IT Consulting
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