Gurugram, Haryana, India
Telecommunications
Full-Time
Traydstream
Overview
Job Description
About Us
We are a fast-growing trade finance technology company dedicated to transforming the way businesses access working capital. Our teams are solving complex problems at the intersection of finance, data, and technology. We are looking for a Senior Data Engineer to join our team and help build scalable, reliable, and high-performance data infrastructure that supports both our Analytics and Machine Learning teams.
What You’ll Do
About Us
We are a fast-growing trade finance technology company dedicated to transforming the way businesses access working capital. Our teams are solving complex problems at the intersection of finance, data, and technology. We are looking for a Senior Data Engineer to join our team and help build scalable, reliable, and high-performance data infrastructure that supports both our Analytics and Machine Learning teams.
What You’ll Do
- Design, build, and maintain robust, scalable, and efficient data pipelines (batch and real-time) to support ML model training, inference, and business intelligence
- Partner closely with the product team to deliver the datasets, pipelines, and tooling needed for advanced analytics
- Develop and optimize our data lake, data warehouse, and feature stores to ensure accuracy, consistency, and accessibility of data across teams
- Implement data quality frameworks and monitoring solutions to ensure trust in the data
- Lead the adoption of best practices in data modeling, ETL/ELT, orchestration, and cloud-based data platforms (e.g., GCP, Azure).
- Contribute to the architecture and design of the company's next-generation data platform to enable real-time insights and machine learning at scale.
- Mentor junior engineers and collaborate across cross-functional teams including Product, Engineering, and AI
- Location: Full Remote
- 5+ years of hands-on data engineering experience in cloud-native environments.
- Proficient in building ETL/ELT pipelines using tools such as Spark/PySpark
- Strong experience with SQL, Python, and distributed data systems (e.g., Delta Lake)
- Solid understanding of data architecture patterns (data lake, lakehouse, warehouse) and data governance
- Experience working with machine learning teams (e.g., building feature pipelines, model scoring pipelines, real-time inference) is highly desirable
- Strong familiarity with BI tools (e.g., PowerBI) and supporting self-service analytics
- Prior experience in FinTech, Trade Finance, or Financial Services is a strong plus
- Excellent problem-solving, communication, and stakeholder management skills
- Familiarity with MLOps practices and tooling
- Exposure to regulatory compliance and risk modeling in the finance domain
- Experience in Anti-Money Laundering in the trade space
- Be part of a mission-driven team reshaping global trade finance
- Work on cutting-edge data problems supporting both real-time decision-making and machine learning
- Competitive compensation, equity, and benefits.
- Flexible, collaborative, and innovative work culture
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