Senior Data & Systems Analyst (AWS)

Enroute; A distancia; MXN 1,235,000 - 1,589,000; Jornada completa

Descripción de la vacante

A forward-thinking technology company in Nuevo León is seeking a Senior Data & Systems Analyst with expertise in AWS. The role involves designing and building data pipelines, serving as a trusted advisor to clients, and collaborating with various stakeholders. Candidates should have strong SQL skills, hands-on experience with AWS services, and the ability to work independently. This position offers a dynamic environment with great benefits and opportunities for professional growth.

Servicios

Monetary compensation

Year-end Bonus

Health Insurance

English and Spanish classes

Performance Management Framework

Amazon Gift Card on your Birthday

Formación

• Proven hands-on experience with AWS services.
• Strong SQL skills for data analysis and validation.
• Experience working in Agile environments.

Responsabilidades

• Design, build, and maintain ETL/data pipelines on AWS.
• Act as a technical advisor to the client, explaining options and recommendations.
• Analyze data flows, integrations, and system interactions end to end.

Conocimientos

AWS Glue

AWS Lambda

SQL

Data Engineering

Systems Analysis

Consultation

Agile

Python

Herramientas

Jira

Git

Descripción del empleo

We love technology, and we enjoy what we do. We are always looking for innovation. We have social awareness and strive to improve it daily. We make things happen. You can trust us. Our Enrouters are always up for a challenge. We ask questions, and we love to learn.

We pride ourselves on having great benefits and compensations, a fantastic work environment, flexible schedules, and policies that positively impact the balance of work and life outside of it. We care about who you are in the office and as an individual. We get involved, we like to know our people, and we want every Enrouter to become part of a great community of highly driven, responsible, respectful, and above all, happy people.

At Enroute, we are looking for a Senior Data & Systems Analyst (AWS) with a strong hybrid background in Data Engineering, Systems Analysis, and client advisory work. This role requires a professional who can design and build data pipelines, understand system integrations end to end, and act as a trusted technical advisor for the client. You will work independently, ask the right questions, and translate business needs into scalable AWS-based data solutions.

This is not a traditional Systems Analyst role — hands‑on AWS experience and pipeline development are mandatory.

Responsibilities

• 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.

Must‑Have

• 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

Equal Employment

Enroute is committed to providing equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.