
Senior Data & Systems Analyst, AWS
Enroute
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇲🇽 Mexico
Visit company websiteJob Level
Senior
Tech Stack
AWSCloudDistributed SystemsETLPythonSDLCSQL
About the role
- Design, build, and maintain **ETL/data pipelines on AWS**.
- Work hands-on with **AWS Glue, S3, Lambda, and API Gateway**.
- Understand business and system requirements and translate them into technical data solutions.
- Act as a **technical advisor** to the client, explaining options, trade-offs, and recommendations.
- Collaborate with stakeholders to clarify ambiguous requirements and drive decisions.
- Analyze data flows, integrations, and system interactions end to end.
- Use **SQL** to validate data, analyze results, and support pipeline logic.
- Troubleshoot data and integration issues across systems and AWS services.
- Document data flows, transformations, business rules, and integration logic.
- Work independently with minimal guidance, owning deliverables from analysis through implementation.
- Participate actively in meetings, contributing ideas and recommendations.
Requirements
- Proven hands-on experience with **AWS**, specifically:
- **AWS Glue**
- **Amazon S3**
- **AWS Lambda**
- **API Gateway**
- Experience **building and maintaining ETL/data pipelines** (not only documenting them).
- Strong **SQL** skills for data analysis and validation.
- Experience working with **data integrations and distributed systems**.
- Ability to act as a **consultant/advisor**, asking the right questions and guiding clients.
- Strong analytical and problem-solving skills.
- Ability to work **independently**, manage ambiguity, and take ownership
- Experience working in **Agile environments** (Scrum or Kanban).
- Ability to **communicate clearly in English (B2+/C1)** with business and technical stakeholders.
- Proven ability to work **independently and proactively** with minimal supervision.
- Knowledge of **process modeling and data modeling**.
- Working knowledge of **Python** for querying or data validation.
- Experience with **data analysis or data mapping** (Excel, SQL tools, BI tools).
- Ability to understand **system architecture diagrams** and technical documentation.
- Experience using **Jira** or similar project management tools.
- Basic knowledge of **Git / version control**.
- Understanding of **SDLC processes** and secure data handling (PII).
- **Nice to Have**
- Experience in **financial services or insurance** environments.
- Experience with additional AWS services or cloud-based data platforms.
- Background combining **Data Engineering and Business/System Analysis** roles.
- Familiarity with Agile/Scrum environments.
Benefits
- - Monetary compensation
- - Year-end Bonus
- - IMSS, AFORE, INFONAVIT
- - Major Medical Expenses Insurance
- - Minor Medical Expenses Insurance
- - Life Insurance
- - Funeral Expenses Insurance
- - Preferential rates for car insurance
- - TDU Membership
- - Holidays and Vacations
- - Sick days
- - Bereavement days
- - Civil Marriage days
- - Maternity & Paternity leave
- - English and Spanish classes
- - Performance Management Framework
- - Certifications
- - TALISIS Agreement: Discounts at ADVENIO, Harmon Hall, U-ERRE, UNID
- - Taquitos Rewards
- - Amazon Gift Card on your Birthday
- - Work-from-home Bonus
- - Laptop Policy
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
ETLdata pipelinesSQLdata integrationsdistributed systemsprocess modelingdata modelingPythondata analysisdata mapping
Soft skills
analytical skillsproblem-solving skillsconsultant/advisorindependentlymanage ambiguitytake ownershipclear communicationproactivecollaborationstakeholder engagement