Senior Data Engineer

Job Description

Collaborates in the development of batch and streaming pipelines, semantic models, and transformations on Databricks using Python/Spark. Defines and upholds data contracts, quality rules, and data SLOs for each data product. Advises domain teams on data modeling and data product boundaries, clarifying product/domain ownership. Provides training, mentorship, and pairs with domain engineers/analysts on data product ownership and implements sound engineering practices. Gathers feedback and integrates domain best practices to improve platform templates, tooling, and patterns.

Qualifications

1. Experience in Data Engineering, encompassing the creation and optimization of data pipelines. 2. Proficiency in working with Databricks, Python, and Spark, involving batch and streaming processes. 3. Advanced Level of English proficiency. 4. Familiarity with BI visualization tools such as Looker or Tableau.

Benefits

- Remote-first culture – work from anywhere! - In-Company English Lessons. - Wellhub or sports club stipend to stay active - AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered - Food credits via Pedidos Ya – because great work deserves great food. - Birthday off + an extra vacation week (Mutt Week! ) - Referral bonuses – help us grow the team & get rewarded! - Annual Mutters' Trip – an unforgettable getaway with the team!