Job Specification: Trading Data Platform Developer – Trading Technology

Location:India (Offshore Development Centre) US Based MNC - Roles - as soon they establishin Hyderabad @ 2026Function:Trading Technology / Data Platform EngineeringReports To:Trading Data Engineering Development Lead – LondonRole Type:Full-Time, PermanentWork Schedule:Aligned with UK and US trading hours (rotational or extended coverage)OverviewOur client, a leading global commodity trading house, is expanding its Trading Data Engineeringteam in India to support the delivery of high-quality market and fundamental data platforms that power trading, analytics, and risk functions across global desks.TheTrading Data Platform Developerwill focus on engineering scalable data services and access layers, including APIs and Excel-based integrations, in acloud-native (AWS-hosted)environment. The role requires deep technical proficiency in Python-based microservices (e.g.,FastAPI ), data engineering pipelines, and containerized deployments usingKubernetes and Docker .This is a hands-on engineering position, working closely with global teams inLondon, Houston, and Singaporeto ensure the reliability, performance, and scalability of data systems supporting Oil, Gas, and Power trading.Key Responsibilities1. Data Platform EngineeringDesign, build, and maintain data pipelines ingestingmarket data, fundamental data , and reference datasets from internal and external sources.Develop and optimize ingestion frameworks, transformations, and access layers usingPython ,AWS services (Glue, Lambda, ECS, S3, Athena, Redshift) , and streaming tools such asKafka .Collaborate with data scientists, analysts, and quants to ensure data accessibility for trading, pricing, and risk analytics.2. API and Data Access Layer DevelopmentDevelop and maintainRESTful APIsusingFastAPIto serve market and fundamental data to internal applications and dashboards.Build scalable and performantExcel Add-insand other client interfaces for traders and analysts to access real-time and historical data.Manage authentication, authorization, and throttling for data access services, ensuring security and compliance.3. Cloud-Native Infrastructure and DevOpsDeploy and manage applications usingDocker containersandKubernetes podsinAWS-hostedenvironments.Implement CI/CD pipelines (GitHub Actions, Jenkins) for automated testing, deployment, and release management.Monitor application health and performance usingCloudWatch ,Grafana , orPrometheus , ensuring resilience and observability.4. Collaboration and Continuous ImprovementPartner with global Data Engineering, Market Data, and Risk Technology teams to align platform enhancements with business priorities.Contribute to data quality monitoring, lineage tracking, and metadata management initiatives.Drive continuous improvement by automating repetitive processes and adopting new frameworks or tools that enhance performance and maintainability.Key Skills and ExperienceTechnical SkillsStrong proficiency inPythonand experience with frameworks such asFastAPIorFlaskfor microservice development.Hands-on experience withAWS cloud ecosystem , including Lambda, ECS, EKS, S3, Glue, CloudFormation, and IAM.Solid understanding ofcontainerization (Docker)and orchestration usingKubernetes .Experience withdata pipelines ,streaming frameworks(Kafka, Kinesis), and distributed data processing.Familiarity withSQLand data warehouse technologies (Redshift, Snowflake, or similar).Exposure toAPI authentication and security(OAuth2, JWT) andExcel integration(COM Add-ins, xlwings, or similar).Experience withCI/CD ,testing automation , andGit-based workflows .Soft SkillsStrong communication and collaboration skills across global time zones and functional teams.Analytical thinker with a structured approach to problem-solving in high-pressure trading environments.Demonstrates initiative in identifying and delivering automation or efficiency improvements.Detail-oriented with a commitment to clean, maintainable, and well-documented code.Experience5–10 years of total experience in data engineering, platform development, or trading technology.Prior experience incommodity trading, investment banking, or financial data engineeringpreferred.Proven experience developing and deploying cloud-native applications in AWS.Exposure to global support and development collaboration models advantageous.EducationBachelor’s or Master’s degree in Computer Science, Engineering, or a related technical discipline.Success IndicatorsDelivery of reliable and high-performance data APIs and access layers supporting trading and analytics.Demonstrated ability to deploy and scale containerized workloads in production.Reduction in latency and improvement in data availability metrics across critical systems.Positive feedback from trading and data stakeholders regarding platform stability and usability.Why This Role MattersThis role is foundational to building a scalable and resilient trading data platformthat enables real-time decision-making across global commodity markets.As the offshore center grows, the position offers strong career progression towardsSenior Data EngineerorTechnical Leadroles within the global Trading Technology organization