Tech Stack

Description

You will design, build, and scale modern data solutions powering analytics and business decisions across the company. Collaborating with data, analytics, and business teams, you'll develop high-quality data pipelines, models, and integrations to deliver clean, reliable, and actionable data. Join a small cross-geography engineering team with a product mindset, owning both build and run responsibilities.

Requirements

• 5+ years of experience as a Data Engineer or similar technical role.
• Strong SQL skills and experience with cloud data warehouses (e.g., Snowflake, Redshift, BigQuery).
• Experience building and maintaining ETL/ELT pipelines using dbt, Airflow, or similar.
• Proficiency in Python or another scripting language.
• Strong understanding of data modeling, data structures, and modern data architecture patterns.

Responsibilities

• Design, build, and maintain scalable data pipelines and transformations across multiple systems and sources.
• Develop high-quality data models that support analytics, reporting, and operational use cases.
• Partner with analytics, product, and business stakeholders to understand data needs and translate them into technical solutions.
• Implement strong data quality, validation, and monitoring processes to ensure reliability and trust in the data.
• Optimize data storage, processing, and performance within cloud data warehousing environments.