Data Engineer Snowflake
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Senior Data Engineer (Snowflake | dbt | Airflow | AWS) Location:
MEXICO ONLY
About the Role We are looking for a
Senior Data Engineer
to design, build, and maintain scalable data pipelines that power enterprise analytics platforms. In this role, you'll work with modern cloud technologies including
Snowflake, dbt, Airflow, and AWS , building reliable, production-ready data solutions while collaborating closely with analytics engineers, BI teams, and cross-functional stakeholders.
This is an excellent opportunity for someone who enjoys solving complex data engineering challenges, optimizing large-scale data pipelines, and driving best practices across modern data platforms.
Key Responsibilities
Design, develop, and maintain scalable data pipelines using
dbt ,
Airflow ,
Snowflake , and
AWS .
Build and optimize ELT/ETL processes that ingest data from multiple sources, including APIs, databases, S3, Splunk, and SFTP.
Implement data quality checks, monitoring, and alerting to ensure reliable production pipelines.
Optimize SQL queries and pipeline performance for scalability and efficiency.
Maintain documentation for data architecture, lineage, and dependencies.
Troubleshoot production issues, failed workflows, and data pipeline failures.
Collaborate with Analytics Engineers and BI teams on data modeling and schema design.
Participate in code reviews and mentor other engineers on best practices.
Implement solutions that comply with data governance and PII protection standards.
Support enhancements, new features, and ad hoc data requests.
Must-Have Requirements
6+ years
of hands-on experience as a Data Engineer.
3+ years
working with modern cloud data warehouses such as
Snowflake, BigQuery, Redshift, or Databricks .
3+ years
using workflow orchestration tools such as
Airflow, Prefect, or Dagster .
2+ years
of experience with
dbt
(or an equivalent data transformation framework).
Advanced SQL skills, including query optimization and window functions.
Strong Python programming skills for data engineering.
Experience with AWS services such as
S3, Lambda, EC2, IAM, and CloudWatch .
Experience implementing data quality validation and monitoring.
Experience using
Git
and CI/CD workflows.
Professional English communication skills.
Nice to Have
Experience with
Docker
and
Kubernetes .
Experience processing
geospatial (GIS)
data.
Strong understanding of data modeling and relational databases.
Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field.
Master's degree is a plus.
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