Python Developer

Job Description

Position Summary: The Platform and Data Services team is looking to hire a Member of Technical Staff (MTS) to join our Data View team in Bangalore. The ideal candidate will have experience developing and deploying software and services in a public cloud environment. About Platform and Data Services: The Platform and Data Services R&D team within athenahealth works on unleashing the potential of large-volume, high-quality healthcare data within our ecosystem. This team works on products and frameworks ranging from creating a federated Data Lake to serving as a warehouse for reporting, analytics, and data science teams. Data governance models for creating well-reviewed data models, uniform report generation, and data lineage are also key focus areas for this organization. The Team: Data View is a highly successful product offering that enables our customers to get raw and transformed data in bulk to power their analytics and integration needs. Transforms are run on the Snowflake-based Data Lake, which is refreshed daily using Oracle Golden Gate change data capture pipelines. Job Responsibilities: Write high-quality code, considering cloud deployment aspects like HA/DR, scale, performance, and security. Write unit, functional, and integration tests to maintain code hygiene as per organizational standards. Participate in self and peer code reviews to ensure the product meets required quality standards. Adhere to the Definition of Done (DoD) during sprint activities, including relevant documentation. Collaborate with product managers, architects, and other stakeholders to build world-class products. Continuously learn and iterate on modern technologies in related areas. Typical Qualifications: 3 to 5 years of experience in a software engineering role Demonstrated progressive software development experience with the ability to work with minimal supervision Bachelor's degree in Engineering (Computer Science) or equivalent Proficiency in Python or similar programming languages Hands-on experience with SQL database design, optimization, and tuning Working knowledge of Unix/Linux platforms Experience with data warehouses like Snowflake, Hadoop, etc. Experience with Postgres and its internals is a strong plus Experience in deploying and maintaining services in a public cloud (AWS preferred)