Data Engineer

Posted 3 Days Ago
Be an Early Applicant
Bengaluru North, Yelahanka, Bengaluru Urban, Karnataka, IND
In-Office
Senior level
Artificial Intelligence • Information Technology • Software • Consulting
The Role
Implement and optimize SQL-based risk calculations and data layers for trading risk reporting. Collaborate across ingestion, API, and UI teams to ensure correctness, performance, and production readiness. Drive architecture reviews, manage technical risk and debt, and translate business requirements into robust technical designs supporting enterprise-grade risk reporting.
Summary Generated by Built In
 Job Description: This position owns the technical interpretation and implementation of trading risk logic, with primary hands-on responsibility for SQL-based risk calculations and data layers. The role does development across SQL, data ingestion, and frontend/backend streams, ensuring that positions, exposures, pricing, and P&L outputs are accurate, performant, and aligned with agreed business definitions.
Working closely with the Senior Business Analyst, Technical Lead, Engineering Manager, and broader engineering teams, the role ensures that business intent is translated into robust technical designs and that delivery decisions balance correctness, performance, technical debt, and long-term platform sustainability. The role plays a critical part in delivering a trusted, enterprise-grade risk reporting platform for internal risk management users.
 
Key Accountabilities
 
Hands on SQL implementation
Implementation of SQL-based risk logic, including base, semantic, and reporting data layers, with primary hands-on responsibility for complex transformations and performance tuning.
Cross-stream technical collaboration:
Strong collaboration with other SQL developers, data engineers, and full stack engineers, ensuring alignment across ingestion, data layers, APIs, and user interfaces.
Risk data correctness and integrity:
Ensures consistency and correctness of positions, exposures, pricing, and P&L outputs across end-of-day and reporting use cases.
Architecture and design stewardship:
Reviews architectural decisions across database, data ingestion pipelines, OpenSearch, and .NET/React-based UI and API layers.
Business and domain partnership:
Partners closely with the Senior Business Analyst, Domain Modeler, Technical Lead to translate business requirements into implementable technical designs, providing feasibility assessment and technical guidance.
Technical risk and debt management:
Identifies, assesses, and proactively manages technical risks, performance bottlenecks, and technical debt to protect platform stability and long-term maintainability.
Delivery and production readiness:
Supports release planning, cutovers, and production readiness, ensuring data availability, performance validation, and operational stability.

Skills Required

  • Hands-on SQL implementation of complex transformations and performance tuning
  • Implement SQL-based risk logic across base, semantic, and reporting data layers
  • Collaborate with SQL developers, data engineers, and full-stack engineers
  • Ensure correctness and integrity of positions, exposures, pricing, and P&L outputs
  • Review architectural decisions across databases, ingestion pipelines, OpenSearch, .NET/React UI and API layers
  • Translate business requirements into implementable technical designs with domain partners
  • Identify and manage technical risks, performance bottlenecks, and technical debt
  • Support release planning, cutovers, and production readiness for data availability and operational stability
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The Company
0 Employees
Year Founded: 2021

What We Do

AlgoLeap specializes in AI-powered software solutions, digital product engineering, and IT consulting services, focusing on digital transformation and AI-driven innovation.

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