{"id":177316,"url":"https://alion.io/job/jpmorganchase-analyst-python-developer","title":"Analyst-Python Developer","company":{"id":257,"name":"JPMorganChase","domain":"jpmorganchase.com","url":"https://alion.io/company/jpmorganchase","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"A","score":100,"open_postings":535,"ghost_share":0.011,"stale_share":0.123,"repost_share":0.114,"time_to_fill_p50_days":8,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Backend","role_family":"Backend","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mumbai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"FastAPI","optional":false},{"name":"Git","optional":false},{"name":"JavaScript","optional":false},{"name":"Python","optional":false},{"name":"React.js","optional":false},{"name":"Rest API","optional":false},{"name":"SharePoint","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"SQLite","optional":false},{"name":"TypeScript","optional":false},{"name":"Least Privilege","optional":true},{"name":"Swagger","optional":true}],"status":"live","first_seen_at":"2026-08-30T00:00:00Z","employer_posted_date":"2026-10-12","last_verified_at":"2026-10-18T05:30:32Z","board_verified":true,"closed_at":null,"days_open":49,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":49},"description":"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.\nJob Responsibilities:\nDevelop and maintain Python backend services using FastAPI, including well-structured REST APIs and service-layer logic.\nBuild and enhance React.js front-end components and pages with a focus on usability, performance, and maintainability.\nCreate and productionize data workflows in Databricks (notebooks, jobs, workflows), including transforming and validating data.\nDesign and implement data models and persistence using SQLite (schemas, queries, indexing basics, migrations as needed).\nBuild and support integrations with SharePoint (e.g., document storage, metadata, lists/workflows) aligned to business needs.\nWrite clean, testable code; contribute to unit/integration tests, code reviews, and automated quality checks.\nAssist with environment setup, deployments, and operational readiness (logging, monitoring, troubleshooting, runbooks).\nPartner with stakeholders to clarify requirements, estimate work, and deliver iteratively with strong ownership and attention to detail.\nMaintain clear technical documentation for APIs, workflows, and support procedures.\nRequired Qualifications, Capabilities, and Skills:\n 3+ years of software development experience (or equivalent project/internship experience with strong hands-on delivery).\nStrong Python skills, including API development experience with FastAPI (or similar REST frameworks).\nExperience building UI features with React.js and modern JavaScript/TypeScript development practices.\nWorking knowledge of Databricks and Spark-based data processing concepts (ETL/ELT, transformations, job execution).\nProficiency with SQL and relational data concepts; 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