21 days ago
Mexico City, MexicoSenior
Responsibilities
- Own and maintain data warehouse infrastructure across Redshift, BigQuery, and Snowflake.
- Build and maintain real-time, batch, and streaming data pipelines for analytics and business decision-making.
- Design data structures and modify and maintain SQL and Python ELT processes.
- Support data integrations for Braze, Acoustic, MoEngage, Segment, GA4, CRM, and other sources.
- Troubleshoot and maintain Airflow and Jenkins orchestration jobs while coordinating with DevOps and cloud management.
- Provide ad-hoc data extracts, SQL support, and analysis for business stakeholders.
- Maintain Looker Explores and dashboards and partner with Data Analysts on reporting requirements.
- Develop, test, and maintain dbt models and reusable analytics-ready data models.
- Implement automated data quality checks, validation rules, and documentation for data models and business logic.
Requirements
- At least 4 years of experience developing in Python.
- At least 4 years of experience with SQL, including Redshift, Snowflake, or BigQuery.
- At least 2 years of experience working on AWS or an equivalent cloud platform.
- At least 2 years of experience with Airflow or comparable orchestration tools.
- Working knowledge of dbt for data transformation and modeling.
- Hands-on experience supporting BI tools such as Looker or Tableau.
- Experience with real-time ingestion tools such as Snowpipe, Stitch, Fivetran, or Kinesis.
- Experience working in an Agile development environment.
- Preferred experience with Segment, Braze, Acoustic, or MoEngage integrations.
- Preferred familiarity with LookML and the Looker semantic layer.
- Preferred experience using Google Analytics 4 as a data source.
- Preferred knowledge of data quality frameworks, dbt tests, schema tests, and CI/CD for data pipelines.
- Exposure to statistics, experimentation, or basic machine learning concepts.
Benefits
- The position must be based in Mexico City.
- The company offers opportunities to work with global teams, innovative technology, and intelligent customer experiences.
- Tillster describes a growth-phase, venture-funded environment with opportunities to make an impact and learn from colleagues at all levels.
- Tillster is committed to an inclusive and diverse workplace and identifies as an equal opportunity employer.
Categories
Data Engineering
About Tillster
Tillster builds a unified commerce platform for multi‑unit restaurant chains, offering online and mobile ordering, delivery management, kiosks, loyalty, and integrated marketing with POS integrations. The privately held company, founded in 2002 and headquartered in Los Angeles, serves global brands including Burger King, Baskin‑Robbins, and Jollibee. Its SaaS model supports personalized guest engagement across channels for large restaurant enterprises.