ETL Engineer — Hybrid Data Orchestrator (Snowflake/Python)

Salesforce, Inc.

Ciudad de México

Hybrid

MXN 400,000 - 700,000

Full time

14 days+

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Job summary

Salesforce, Inc. in Mexico City is seeking an ETL Software Engineer to design and maintain data pipelines that move data between Snowflake, Informatica/IICS, MuleSoft and other sources.

You will work with data analysts and platform teams to ensure analytics accuracy and reliability. Responsibilities include building ETL mappings, developing Python-based scripts, monitoring Airflow jobs, and coordinating deployments across DEV/QA/STG/PRD in a hybrid work setup.

Qualifications

3–5 years of experience in ETL development or data engineering.
Hands-on experience with MuleSoft or Informatica/IICS.
Proficient in SQL and Python for data transformation.
Experience with Snowflake and Airflow for data pipelines.
Knowledge of environment promotion (DEV/QA/STG/PRD) and GitHub.
Strong troubleshooting skills and cross-functional collaboration.
Clear written communication and CI/CD deployment experience.

Responsibilities

Design, build, and maintain ETL mappings and workflows using Informatica/IICS.
Develop Python-based ETL scripts for data transformation and automation.
Monitor and troubleshoot scheduled data pipelines (Airflow).
Manage API connections and credentials across environments.
Create Snowflake objects and RBAC to support pipeline read/write operations.
Perform data quality checks and reconcile records across sources.
Submit and manage change requests through DEV → QA → STG → PRD.
Collaborate with stakeholders to resolve data mapping discrepancies.
Maintain documentation and runbooks for ETL jobs.
Respond to production incidents related to ETL and data quality.

Skills

ETL development

MuleSoft

Informatica/IICS

SQL

Python

Snowflake

Airflow

GitHub

Troubleshooting

CI/CD

Communication

Tools