Lead II - Data Engineering Python, AWS, SQL - UST

We are looking for Senior ETL / Data Integration Engineers to reinforce an existing 3- person ETL team. The team is responsible for designing, developing and maintaining all data flows between the E-commerce platform, SAP, the OMS and several third-party systems. The technical environment is mainly based on Python, AWS Lambda, AWS ECS and eventdriven pipelines triggered through a Kafka-like messaging system. The objective is to onboard senior, hands-on engineers who can quickly contribute to existing developments, improve integration patterns and bring technical expertise to support the team’s roadmap. Main Responsibilities: • Design, develop and maintain ETL pipelines and data integration flows • Build and improve Python-based data processing components • Develop and operate AWS Lambda functions and containerized services on ECS • Integrate data flows between E-commerce, SAP, OMS and external systems • Work with event-driven mechanisms to trigger and orchestrate ETL pipelines • Ensure reliability, scalability, data consistency and proper error handling • Contribute to CI/CD pipelines and delivery processes using GitLab/Terraform • Participate in code reviews, technical discussions and architecture decisions • Improve observability, logging and monitoring of ETL flows • Document technical solutions and integration patterns Required Profile: • Senior hands-on engineer with strong Python development experience • Solid experience in AWS cloud-native environments • Good knowledge of Lambda, ECS and containerized workloads • Experience with ETL, data integration or event-driven architectures • Understanding of messaging systems such as Kafka or equivalent • Ability to analyze existing systems and propose pragmatic improvements • Strong autonomy, ownership and delivery mindset • Good communication skills with technical and non-technical stakeholders • Comfortable working in an agile environment with GitLab, Jira and Confluence Nice to Have: • Experience in E-commerce environments • Experience with SAP or OMS integration • Knowledge of data quality, retry mechanisms, idempotency and monitoring best practices

ETL, Python, Amazon ECS, AWS Lambda