Enroute provides IT consulting across data engineering, software development, and quality engineering. Its team helps organizations bring data from varied sources into useful systems, shape software strategies around long-term needs, and build testing into development from the outset. Enroute’s work also includes IT strategy and solutions for clients in consulting, logistics, and manufacturing.
Senior Data Engineering Systems Analyst (AWS) – Enroute, Mexico Remote
Translate business needs into scalable AWS data solutions at Enroute. Support system integration, technical documentation, Agile delivery, and architecture improvements.
Description
- Translate business requirements into technical solutions and specifications that meet project goals.
- Design scalable, adaptable technical solutions and support their implementation.
- Coordinate with Product Owners, Solution Architects, developers, and stakeholders to align business needs with technical delivery.
- Review systems, architectures, and processes to find opportunities to optimize, integrate, and improve them.
- Maintain technical documentation, including architecture diagrams, integration specifications, and process guides.
- Assess technical solutions and support delivery against quality standards and project timelines.
- Troubleshoot issues during implementation and after launch to limit business disruption.
- Take part in Agile ceremonies, including sprint planning, stand-ups, and reviews.
- Propose architecture improvements and technical practices that support scalability and performance.
- Connect business needs with implementation by analyzing complex systems, defining requirements, and supporting end-to-end delivery.
- Record system behavior, identify gaps, and turn strategic goals into actionable stories and technical specifications.
Requirements
- Bring strong data engineering experience in data modeling, transformation, and integration.
- Have practical experience with AWS and cloud-based data solutions.
- Know relational databases and SQL well.
- Use Python for data processing, querying, validation, and automation.
- Have hands-on experience building ETL/ELT processes and data pipelines.
- Have experience with data mapping and transformation logic.
- Understand system architecture, microservices, distributed systems, and data integration patterns.
- Be able to read and interpret architecture diagrams and technical specifications.
- Have used GitHub or another version control system.
- Understand software development lifecycle processes and Agile methods such as Scrum or Kanban.
- Have experience with project tracking tools such as Jira.
- Be familiar with secure data handling, especially sensitive financial data and personally identifiable information.
- Work directly with business stakeholders to understand needs and turn them into technical solutions.
- Communicate clearly and collaborate with technical and non-technical colleagues.
- Have experience gathering and documenting functional and non-functional requirements.
- Create clear technical documentation, user stories, and acceptance criteria.
- AWS CDK or other Infrastructure as Code experience is a plus.
- Insurance or financial services industry experience is a plus.
- AWS certifications are a plus.
Benefits
- Monetary compensation
- Year-end bonus
- IMSS, AFORE, and INFONAVIT
- Major medical expenses insurance
- Life insurance
- Funeral expense coverage
- TDU membership
- MediAccess
- Health check-up subsidy
- Preferential car insurance rates
- Vacation leave
- Official Mexican holidays
- Life Happens days
- Bereavement leave
- Civil marriage leave
- English classes
- Certifications
- Education agreements with Talisis, U-ERRE, UNID, TecMilenio, Tec de Monterrey, UDEM, and SPIS
- Corporate agreements and discounts with Sorteos Tec, Envia Flores, and TopGolf
- Taquitos Rewards
- Birthday bonus
- Work-from-home bonus
- Laptop policy