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 hiringa 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 modern 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 environment.
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 fast-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 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.

Please let me know if you are interested in this position and send me your resume to [HIDDEN TEXT]

Full Stack Data Engineer Python, React, Snowflake & Azure