Python Developer

Responsibilities: • Hands-on building of ETL pipelines using our internal framework written in Java and Python • Hands-on solutioning of real time REST APIs or other solutions for streaming data from Graph • Modify existing application code or interfaces or build new application components from detailed requirements. • Analysis of requirements, support of the design, development of the code, testing, debugging, deployment, and maintenance of those programs and interfaces. Documentation of the work is essential • Participation in most aspects of programming and application development, including file design, update, storage, and retrieval • Enhance processes to resolve operational problems and add new functions taking into consideration schedule, resource constraints, process complexity, dependencies, assumptions and application structure • Ability to maintain the developed solution on an on-going basis is essential • Ability to follow the existing development methodology and coding standards, and ensure compliance with the internal and external regulatory requirements • Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality • Acquire data from primary or secondary data sources and maintain databases/data systems • Work with management to prioritize business and information needs • Locate and define new process improvement opportunities • Document design and data flow for existing and new applications being built. • Co-ordinate with multiple different teams QA, Operations and other development team within the organization. • Testing methods, including unit and integration testing (PyTest, PyUnit) • Ability to integrate with large teams, demonstrating strong verbal and written communication skills • Utilization of software configuration management tools • Code deployment and code versioning tools • Excellent Communication Skills Qualifications: • Bachelor's degree preferably with Computer Science background. • At least 5+ years of experience implementing complex ETL pipelines preferably with Spark toolset. • At least 5+ years of experience with Python particularly within the data space • Technical expertise regarding data models, database design development, data mining and segmentation techniques • Good experience writing complex SQL and ETL processes • Excellent coding and design skills, particularly either in Scala or Python. • Strong practical working experience with Unix scripting in at least one of Python, Perl, Shell (either bash or zsh). • Experience in AWS technologies such as EC2, Redshift, Cloud formation, EMR, AWS S3, AWS Analytics required. • Experience designing and implementing data pipelines in a onprem/cloud environment is required. • Experience building/implementing data pipelines using Databricks/On prem or similar cloud database. • Expert level knowledge of using SQL to write complex, highly optimized queries across large volumes of data. • Hands-on object-oriented programming experience using Python is required. • Professional work experience building real-time data streams using Spark and Experience in Spark. • Knowledge or experience in architectural best practices in building data lakes • Develop and work with APIs • Develop and maintain scalable data pipelines and build out new API integrations to support continuing increases in data volume and complexity. • Collaborate with analytics and business teams to improve data models that feed business intelligence tools, increase data accessibility, and foster data-driven decision making across the organization. • Implement processes and systems to monitor data quality, to ensure production data accuracy, and ensure key stakeholder and business process access. • Write unit/integration tests, contribute to engineering wiki, and documents. • Perform data analysis required to troubleshoot data related issues and assist in the resolution of data issues. • Experience developing data integrations and data quality framework based on established requirements. • Experience with CI/CD processes and tools (e.g., concourse, Jenkins). • Experience with test driven development writing unit tests, test coverage using PyTest, PyUnit, pytest-cov libraries. • Experience working in an Agile environment. • Good understanding & usage of algorithms and data structures • Good Experience building reusable frameworks. • Experience working in an Agile Team environment. • AWS certification is preferable: AWS Developer/Architect/DevOps/Big Data • Excellent communication skills both verbal and written

Created: 2026-03-04