Sr. Data Engineer
Team: Data
Location: Santiago, Latin America, Mexico City
Commitment: Full-Time Permanent
Workplace Type: remote
WHAT YOU’LL DO:
- Design, build, and maintain scalable data pipelines and architectures to support analytical and operational workloads.
- Develop and optimize ETL/ELT pipelines, ensuring efficient data extraction, transformation, and loading from various sources.
- Work closely with backend and platform engineers to integrate data pipelines into cloud-native applications.
- Manage and optimize cloud data warehouses, primarily BigQuery, ensuring performance, scalability, and cost efficiency.
- Implement data governance, security, and privacy best practices, ensuring compliance with company policies and regulations.
- Collaborate with analytics teams to define data models and enable self-service reporting and BI capabilities.
- Develop and maintain data documentation, including data dictionaries, lineage tracking, and metadata management.
- Monitor, troubleshoot, and optimize data pipelines, ensuring high availability and reliability.
- Stay up to date with emerging data engineering technologies and best practices, continuously improving our data infrastructure.
WHAT WE’RE LOOKING FOR:
- Certified Snowpro
- Experience collaborating with distributed teams across North America and Latin America.
- 5+ years of experience in data engineering, building modern cloud-based data platforms.
- Strong hands-on experience with Snowflake, including performance tuning, security, and data modeling.
- Advanced SQL skills for analytics engineering and data transformation.
- Proficiency in Python for data processing, automation, and orchestration.
- Experience with dbt or similar analytics engineering frameworks.
- Familiarity with orchestration tools such as Dagster or Apache Airflow.
- Experience enabling or supporting machine learning, feature engineering, or AI-driven use cases on top of data platforms.
- Solid understanding of data privacy, governance, and compliance best practices.
- Strong problem-solving skills and a pragmatic, delivery-oriented mindset.
- Strong problem-solving skills, with the ability to debug and optimize complex data workflows.
- Excellent English communication and collaboration skills.
NICE TO HAVES:
- Experience with Snowflake Cortex, Snowpark, or ML workflows integrated with Snowflake.
- Familiarity with GenAI or LLM-enabled analytics use cases (e.g., semantic layers, AI-assisted insights, decisioning).
- Experience with Databricks or hybrid Snowflake + Databricks architectures.
- Exposure to real-time or near-real-time data pipelines.
- Experience with BI tools (e.g., Looker, Tableau, Power BI).
- Infrastructure as Code experience (e.g., Terraform) in data environments.
- Familiarity with CDPs, marketing platforms, and digital experience ecosystems (e.g., Segment, Contentful, personalization tools).
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