{"id":1417248,"url":"https://alion.io/job/teamware-solutions-full-stack-data-engineer-python-react-snowflake-azure","title":"Full Stack Data Engineer Python, React, Snowflake & Azure","company":{"id":3800291,"name":"Teamware Solutions","domain":"twsol.com","url":"https://alion.io/company/teamware-solutions","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":21000,"max_usd":44000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":51},"experience_years_min":20,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure AKS","optional":false},{"name":"Claude","optional":false},{"name":"Copilot","optional":false},{"name":"Cursor","optional":false},{"name":"GraphQL","optional":false},{"name":"JavaScript","optional":false},{"name":"OpenAI Codex","optional":false},{"name":"Python","optional":false},{"name":"React.js","optional":false},{"name":"Rest API","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"TypeScript","optional":false},{"name":"Function Calling","optional":true},{"name":"Kubernetes","optional":true},{"name":"LLM","optional":true},{"name":"Power BI","optional":true},{"name":"Spark","optional":true},{"name":"Structured Outputs","optional":true},{"name":"Tableau","optional":true},{"name":"Tool Use","optional":true}],"status":"live","first_seen_at":"2026-09-28T19:17:33Z","employer_posted_date":null,"last_verified_at":"2026-09-28T19:17:33Z","board_verified":false,"closed_at":null,"days_open":2,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":2},"description":"About the Company\nGreetings from Teamware Solutions a division of Quantum Leap Consulting Pvt. Ltd\n\nTeamware Solutions (a division of Quantum Leap Consulting Pvt. Ltd.) is a 20+ year industry leader providing IT staffing and consulting services, supporting 4000+ professionals across India, the USA, the Middle East, and APAC for leading GCC clients.\n\nAbout the Role\nWe are hiringa Full Stack Data Engineer – Python, React, Snowflake & Azure\n\nLocation: Chennai, Bangalore, Hyderabad, Pune, Mumbai, Noida, Trivandrum\nWork Model: Hybrid\nExperience: 6 to 9 years\nNotice Period: Immediate - 15 days\n\nData Engineering - Full Stack Engineer \n\nExperience: 8+ years | Function: Data Management & Engineering | Type: Full-time | Location: Hybrid\n\nROLE OVERVIEW\nWe are looking for an AI-forward Full Stack Engineer who is comfortable working across the data lifecycle -from source ingestion and transformation through database design, APIs, and modern front-end experiences. The strongest candidates will bring experience working with investment-management data and understand how core data domains such as positions, transactions, pricing, market data, security master, reference data, account data, and related investment data fit together to support front-office use cases\n\nREQUIRED SKILLS & EXPERIENCE\nApproximately 6-8 years of professional software engineering experience, with meaningful hands-on experience across both backend/data engineering and front-end development.\nExperience using modern AI development tools such as Codex, Claude, Cursor, GitHub Copilot, or similar tools, with an interest in incorporating AI meaningfully into day-to-day software development.\nStrong programming skills in Python, with experience building production-quality data pipelines, services, or applications.\nExperience developing modern web applications using React and JavaScript/TypeScript.\nStrong SQL skills and practical experience designing, querying, and optimizing relational or analytical database structures.\nExperience building data pipelines involving ingestion, transformation, validation, and delivery of large or complex datasets.\nExperience developing or consuming REST and/or GraphQL APIs.\nWorking knowledge of cloud-based data environments and modern data warehouses.\nExperience with Azure, Snowflake, and Azure Kubernetes Service (AKS) is required.\nStrong understanding of the full data lifecycle: source -> ingestion -> transformation -> database curated datasets -> API / application / analytics consumption.\nDemonstrated ability to troubleshoot data issues across multiple layers, including source data, transformations, databases, APIs, and user-facing applications.\nExperience working in asset management, investment management, capital markets, or similarly data-intensive financial environment.\nFamiliarity with the core data concepts that underpin front-office investment workflows, including positions / holdings, transactions, pricing, market data, security master, reference data, account and portfolio data, and risk or analytics data.\nAbility to understand how these data domains relate to one another and how they are consumed by Portfolio Managers, Traders, Risk professionals, and investment analytics users.\nComfortable working in a fast-paced engineering environment with shared ownership of production systems.\nDomain knowledge in front-office workflows, including risk, trading, and positions. Familiarity with accounting systems is mandatory\n\nNice-to-haves\nExperience supporting Portfolio Management, Trading, Risk, or other front-office investment\nworkflows directly.\nExperience with private markets, alternatives, or Private Equity data.\nExperience with Snowflake performance optimization and data modeling.\nExperience with near-real-time or event-driven financial data.\nFamiliarity with Spark or other distributed data-processing frameworks.\nExperience developing semantic or analytics-ready datasets for tools such as Tableau, Power BI,\nSigma, or Pyramid.\nExposure to AI/LLM application development, including retrieval, tool use, agents, structured outputs, or natural-language interfaces over enterprise data.\nJava experience in addition to Python.\n\nSenior Full Stack Data Engineer with strong Python + SQL + Snowflake + Azure/AKS, hands-on React/TypeScript and API development, strong data pipeline experience, and investment/asset-management domain knowledge including accounting and front-office workflows.\n\nPlease let me know if you are interested in this position and send me your resume to [HIDDEN TEXT]","description_format":"text","description_chars":4537,"description_truncated":false,"requirements":{"experience_years_min":20,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-28T21:00:22Z"}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":1,"expected_fill_days":30,"reasons":["seen:1","velocity","win:early"],"computed_at":"2026-09-30T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/teamware-solutions-full-stack-data-engineer-python-react-snowflake-azure","json_url":"https://alion.io/job/teamware-solutions-full-stack-data-engineer-python-react-snowflake-azure.json","meta":{"generated_at":"2026-10-01T02:31:23Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":1884,"day_limit":5000,"remaining_today":3116,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}