Data Engineer

We are looking for a Data Engineer to join our team and play a key role in building scalable, reliable, and business-focused data products from the ground up. This is a great opportunity to contribute to the development of core data infrastructure, influence technical decisions, and help establish best practices in data engineering across the organization. Responsibilities: Build data engineering products (data models, pipelines, data quality automations, monitoring), end-to-end ownership of data products. Collaborate closely with data analysts, PMs, and stakeholders on both new and existing data products Apply best engineering CI/CD practices to data workflows and processes Requirements: 3+ years of experience in Data Engineering, Analytics Engineering, or a related field Strong knowledge of SQL, Python, and dbt Hands-on experience with ELT/ETL, data quality, and analytics engineering Experience working with cloud platforms such as AWS, GCP, or Azure Experience with cloud data warehouses such as Databricks, Snowflake, BigQuery, Redshift, or similar Nice to have: Strong attention to automation DevOps background Product engineering mindset (focus on business impact, not just data engineering) Experience with BI tools and delivering impactful analysis