Em - Data Engineering

6 days ago


Panchkula, India Trademo Full time

About Trademo At Trademo, we are transforming global trade and supply chains by leveraging cutting-edge AI technology to provide businesses with unparalleled visibility, compliance, and intelligence solutions. Our AI-driven platform simplifies the complexities of international trade, helping companies mitigate risks, enhance efficiency, and make data-driven decisions with confidence. Our AI-Enhanced Solutions: ✅ Trademo Intel – AI-powered trade intelligence to uncover market trends and competitive insights. ✅ Trademo Sanctions Screener – AI-driven compliance with 650+ global sanctions and PEP lists. ✅ Trademo Global Trade Compliance – Real-time regulatory and tariff data for 140+ countries, with AI workflows for HS/ECN classification, controls determination, and licensing. ✅ Trademo Map - AI-powered global supply chain mapping and screening, detecting risks like Forced Labor (UFLPA) and sanctions in deep-tier networks. ✅ Trademo TradeScreen - AI-powered trade transaction digitization, financial crime screening and compliance platform. Trademo collects and integrates diverse open-source data points to create our AI-driven knowledge graph, TrademoKG. These data points include Customs Declarations, Shipping Data, Satellite Data, AIS Data, Vessels, Web Footprints, Global Tariffs & Duties, FTAs, Import/Export Controls, Export Licenses, Key Personnel & Ownership, Company Financials, and Company Legal information. By analyzing trade data from 200+ countries, Trademo uses AI to provide deep insights, ensuring visibility and compliance across global supply chains. Founded by Shalabh Singhal, who is a third-time tech entrepreneur and an alumni of IIT BHU, CFA Institute USA, and Stanford GSB SEED. Our Trademo is backed by a remarkable team of leaders and entrepreneurs like Amit Singhal (Former Head of Search at Google), Sridhar Ramaswamy (CEO, Snowflake), Neeraj Arora (MD, General Catalyst & Former CBO, Whatsapp Group). Role: Engineering Manager - Data Website: www.Trademo.Com Location: On-site Key Responsibilities: - Oversee and contribute to the design and development of scalable systems for ETL/ELT, batch processing, and real-time streaming. - Work closely with cloud/DevOps teams to optimize AWS infrastructure, deployment pipelines, and cost efficiency. - Build robust pipelines for data ingestion, transformation, modeling, quality checks, and lineage tracking. - Lead, mentor, and grow a team of data engineers, drive a culture of ownership, technical excellence, and collaboration - Act as the technical backbone of the data engineering team-actively contribute to architecture, design, and complex engineering tasks. - Solve high-impact technical problems related to scalability, reliability, and data quality. - Participate in writing/reviewing code when needed, especially for critical components or new system foundations. - Contribute to long-term data platform vision and drive continuous improvement. Desired Profile: - Bachelor’s degree in Computer Science, Engineering, Information Technology, or equivalent is required. - 9-12 years of overall experience in software/data engineering. - At least 2 years of experience in technical leadership or engineering management roles. - Strong expertise in data engineering, distributed systems, or backend platform development. - Familiarity with Spark, Apache Kafka/MSK, Airflow, Kubernetes. - Exposure to ML pipelines, analytics engineering, or data governance frameworks.


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