We are seeking a highly skilled
Senior Data Engineer
with deep experience in
Snowflake, ETL development, Python, and Matillion
to design, build, and optimize scalable data solutions. This role will play a key part in enabling analytics, reporting, and advanced data use cases while staying ahead of
emerging Snowflake capabilities , including technologies such as
Snowflake Cortex.
The adecuado candidate is hands‑on, technically strong, and comfortable working across the full data lifecycle—from ingestion and transformation through optimization and enablement of downstream analytics and AI‑driven use cases.
Key Responsibilities
Design, develop, and maintain scalable, high‑performance data pipelines using
Snowflake
as the core data platform
Build and optimize
ETL/ELT workflows
using
Matillion
and Python
Develop reusable, well‑documented Python code for data processing, orchestration, and automation
Optimize Snowflake performance through effective use of clustering, partitioning, warehouses, and cost‑management best practices
Partner with analytics, data science, and business teams to translate requirements into reliable data solutions
Ensure data quality, reliability, and governance across pipelines and datasets
Stay current on
emerging Snowflake technologies and features , including
Snowflake Cortex , and evaluate opportunities for adoption
Support advanced analytics, reporting,



and AI/ML use cases by delivering clean, well‑modeled data
Participate in architectural discussions and contribute to data platform best practices and standards
Troubleshoot and resolve data pipeline and performance issues in production environments
Required Qualifications
6+ years of hands‑on experience
as a Data Engineer or in a similar role
6+ years of Snowflake experience , including schema design, performance tuning, and optimization
Strong experience designing and building
ETL/ELT pipelines
Advanced proficiency in Python
for data engineering use cases
Strong experience with Matillion
for Snowflake‑based data integration
Solid understanding of data modeling concepts (e.g., dimensional modeling, star/snowflake schemas)
Experience working with large‑scale, cloud‑based data platforms
Strong SQL skills and experience optimizing complex queries
Ability to work independently and collaborate effectively in cross‑functional teams
Preferred / Nice‑to‑Have Qualifications
Experience or exposure to
Snowflake Cortex
or other emerging Snowflake AI/ML capabilities
Familiarity with cloud platforms (AWS, Azure, or GCP)
Experience supporting analytics, BI, or data science teams
Knowledge of CI/CD practices for data pipelines
Experience with data governance, security, and compliance in cloud data environments

📌 Senior data engineer (Heroica Puebla de Zaragoza)
🏢 The Home Depot Global Technology Center In Mexico
📍 Heroica Puebla de Zaragoza