Job
Description
You will be part of a dynamic team at Trademo, a company dedicated to transforming global trade and supply chains using cutting-edge AI technology. As a data engineer, your role will involve the following key responsibilities: - Oversee and contribute to the design and development of scalable systems for ETL/ELT, batch processing, and real-time streaming. - Collaborate 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, fostering a culture of ownership, technical excellence, and collaboration. - Act as the technical backbone of the data engineering team, actively contributing to architecture, design, and complex engineering tasks. - Address high-impact technical challenges related to scalability, reliability, and data quality. - Participate in writing and reviewing code as needed, especially for critical components or new system foundations. - Contribute to the long-term data platform vision and drive continuous improvement initiatives. To be successful in this role, you should possess the following qualifications: - Bachelor's degree in Computer Science, Engineering, Information Technology, or equivalent. - 9-12 years of overall experience in software/data engineering. - Minimum of 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. Join Trademo and be part of a team that is revolutionizing the way businesses approach international trade and supply chain management. You will be part of a dynamic team at Trademo, a company dedicated to transforming global trade and supply chains using cutting-edge AI technology. As a data engineer, your role will involve the following key responsibilities: - Oversee and contribute to the design and development of scalable systems for ETL/ELT, batch processing, and real-time streaming. - Collaborate 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, fostering a culture of ownership, technical excellence, and collaboration. - Act as the technical backbone of the data engineering team, actively contributing to architecture, design, and complex engineering tasks. - Address high-impact technical challenges related to scalability, reliability, and data quality. - Participate in writing and reviewing code as needed, especially for critical components or new system foundations. - Contribute to the long-term data platform vision and drive continuous improvement initiatives. To be successful in this role, you should possess the following qualifications: - Bachelor's degree in Computer Science, Engineering, Information Technology, or equivalent. - 9-12 years of overall experience in software/data engineering. - Minimum of 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. Join Trademo and be part of a team that is revolutionizing the way businesses approach international trade and supply chain management.
