About the Company

Greetings from Teamware Solutions a division of Quantum Leap Consulting Pvt. Ltd

Teamware 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.

About the Role

We are hiring a Full Stack Data Engineer – Python, React, Snowflake & Azure

- Location: Chennai, Bangalore, Hyderabad, Pune, Mumbai, Noida, Trivandrum
- Work Model: Hybrid
- Experience: 6 to 9 years
- Notice Period: Immediate - 15 days

Data Engineering - Full Stack Engineer Experience: 8+ years | Function: Data Management & Engineering | Type: Full-time | Location: Hybrid

ROLE OVERVIEW

We 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

REQUIRED SKILLS & EXPERIENCE

- Approximately 6-8 years of professional software engineering experience, with meaningful hands-on experience across both backend/data engineering and front-end development.
- Experience 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.
- Strong programming skills in Python,



with experience building production-quality data pipelines , services, or applications.
- Experience developing modern web applications using React and JavaScript /TypeScript.
- Strong SQL skills and practical experience designing, querying, and optimizing relational or analytical database structures.
- Experience building data pipelines involving ingestion, transformation, validation , and delivery of large or complex datasets.
- Experience developing or consuming REST and/or GraphQL APIs .
- Working knowledge of cloud-based data environments and contemporary data warehouses .
- Experience with Azure, Snowflake , and Azure Kubernetes Service (AKS) is required.
- Strong understanding of the full data lifecycle: source -> ingestion -> transformation -> database curated datasets -> API / application / analytics consumption.
- Demonstrated ability to troubleshoot data issues across multiple layers, including source data, transformations, databases, APIs, and user-facing applications.
- Experience working in asset management, investment management, capital markets, or similarly data-intensive financial workplace.
- Familiarity 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.
- Ability 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.
- Comfortable working in a quick-paced engineering environment with shared ownership of production systems.
- Domain knowledge in front-office workflows, including risk, trading, and positions. Familiarity with accounting systems is mandatory

Nice-to-haves

- Experience supporting Portfolio Management, Trading, Risk, or other front-office investment
- workflows directly.
- Experience with private markets, alternatives, or Private Equity data.
- Experience with Snowflake performance optimization and data modeling.
- Experience with near-real-time or event-driven financial data.
- Familiarity with Spark or other distributed data-processing frameworks.
- Experience developing semantic or analytics-ready datasets for tools such as Tableau , Power BI,
- Sigma, or Pyramid.
- Exposure to AI/LLM application development, including retrieval, tool use, agents, structured outputs, or natural-language interfaces over enterprise data.
- Java experience in addition to Python .

Senior Full Stack Data Engineer with robust 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. Please let me know if you are interested in this position and send me your resume to [email protected]

📌 Full Stack Data Engineer – Python, React, Snowflake & Azure (Bengaluru)
🏢 Teamware Solutions
📍 Bengaluru