Analyst - Python Developer

As a Python Developer (Analyst) within our team, you will contribute to the development and support of full-stack applications and data-enabled services. You’ll work on building FastAPI back-end services, React-based front ends, Databricks jobs/notebooks for data processing, and integrations with SharePoint for document/workflow enablement. You will apply engineering best practices (testing, documentation, CI/CD, observability) and help ensure solutions meet performance, resiliency, and security standards.
Job Responsibilities:
Develop and maintain Python backend services using FastAPI, including well-structured REST APIs and service-layer logic.
Build and enhance React.js front-end components and pages with a focus on usability, performance, and maintainability.
Create and productionize data workflows in Databricks (notebooks, jobs, workflows), including transforming and validating data.
Design and implement data models and persistence using SQLite (schemas, queries, indexing basics, migrations as needed).
Build and support integrations with SharePoint (e.g., document storage, metadata, lists/workflows) aligned to business needs.
Write clean, testable code; contribute to unit/integration tests, code reviews, and automated quality checks.
Assist with environment setup, deployments, and operational readiness (logging, monitoring, troubleshooting, runbooks).
Partner with stakeholders to clarify requirements, estimate work, and deliver iteratively with strong ownership and attention to detail.
Maintain clear technical documentation for APIs, workflows, and support procedures.
Required Qualifications, Capabilities, and Skills:
3+ years of software development experience (or equivalent project/internship experience with strong hands-on delivery).
Strong Python skills, including API development experience with FastAPI (or similar REST frameworks).
Experience building UI features with React.js and modern JavaScript/TypeScript development practices.
Working knowledge of Databricks and Spark-based data processing concepts (ETL/ELT, transformations, job execution).
Proficiency with SQL and relational data concepts; experience with SQLite or similar relational databases.
Familiarity with integrating enterprise platforms such as SharePoint (files/lists/metadata; APIs or connectors).
Understanding of software engineering fundamentals: version control (Git), testing, debugging, and secure coding practices.
Strong communication skills and ability to collaborate across teams.
Preferred Qualifications, Capabilities, and Skills:
Experience with API best practices (OpenAPI/Swagger, validation, authentication/authorization patterns, pagination, error handling).
Familiarity with front-end patterns (state management, component libraries, accessibility, performance optimization).
Experience operationalizing Databricks workloads (scheduling, parameterization, cluster configuration basics, monitoring).
Exposure to CI/CD pipelines and DevOps practices (build/test automation, deployment workflows).
Understanding of application security basics (secrets handling, dependency hygiene, input validation, least privilege).
Ability to propose improvements, learn quickly, and take ownership of deliverables in a fast-paced environment.