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Sr. Data Engineer (Snowflake)

4 weeks, 1 day ago
Mexico, Chile, Latin America
Full-time
Senior
Data Engineer
Software Development
Apache Airflow Contentful Dagster Databricks dbt Feature Engineering GCP Looker Machine Learning Power BI Python Segment Snowflake SQL Tableau Terraform
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Apply Digital

Apply Digital

Apply Digital experts work with global brands like Coca Cola, Kraft Heinz, and The Very Group to thoughtfully connect strategy to execution, deliver impact for your business, and value for your customers. We are partners for change agents leading digit...

Professional Services
251-1K
Founded 2016
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Description

  • Design, build, and maintain scalable data pipelines and data architectures.
  • Develop and optimize ETL/ELT workflows from multiple data sources.
  • Work with backend and platform engineers to integrate pipelines into cloud-native applications.
  • Manage and optimize cloud data warehouses, primarily BigQuery, for performance, scalability, and cost efficiency.
  • Implement data governance, security, privacy, and compliance best practices.
  • Collaborate with analytics teams to define data models and enable self-service reporting and BI.
  • Develop and maintain data documentation, including dictionaries, lineage tracking, and metadata.
  • Monitor, troubleshoot, and optimize data pipelines to ensure high availability and reliability.
  • Stay current on emerging data engineering technologies and continuously improve the data infrastructure.

Requirements

  • 5+ years of experience in data engineering building modern cloud-based data platforms.
  • Certified SnowPro.
  • 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 collaborating with distributed teams across North America and Latin America.
  • Experience enabling or supporting machine learning, feature engineering, or AI-driven use cases on data platforms.
  • Solid understanding of data privacy, governance, and compliance best practices.
  • Strong problem-solving skills and a delivery-oriented mindset.
  • Excellent English communication and collaboration skills.
  • Experience with Snowflake Cortex, Snowpark, or ML workflows integrated with Snowflake (nice to have).
  • Familiarity with GenAI or LLM-enabled analytics use cases (nice to have).
  • Experience with Databricks or hybrid Snowflake + Databricks architectures (nice to have).
  • Exposure to real-time or near-real-time data pipelines (nice to have).
  • Experience with BI tools such as Looker, Tableau, or Power BI (nice to have).
  • Infrastructure as Code experience, such as Terraform, in data environments (nice to have).
  • Familiarity with CDPs, marketing platforms, and digital experience ecosystems such as Segment or Contentful (nice to have).

Benefits

  • Hybrid/remote-friendly work arrangement.
  • Option to work fully remote outside of Santiago, Chile.
  • Work out of the Santiago office as a remote/hybrid employee if based in Santiago, Chile.
  • Generous training budgets and mentorship for professional growth.
  • Focus on Agentic AI expertise and future-of-work skills development.
  • Generous vacation policy with ample time away from work.
  • Inclusive, safe, and respectful work environment.
  • Opportunity to work with international brands on globally impactful engagements.

Interested in this position?

Apply directly on the company website

Apply Now

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