3 months ago
Buenos Aires, ArgentinaSenior
Responsibilities
- Co-develop batch and streaming pipelines, semantic models, and transformations on Databricks using Python and Spark.
- Define and maintain data contracts, quality rules, and data SLOs for each data product.
- Guide domain teams on data modeling and data product boundaries.
- Train, mentor, and pair with domain engineers and analysts on data product ownership and engineering practices.
- Capture domain feedback and incorporate improvements into platform templates, tooling, and patterns.
Requirements
- Experience in data engineering, including building and optimizing data pipelines.
- Experience with Databricks, Python, and Spark for batch and streaming workloads.
- Intermediate-level English proficiency.
- Familiarity with a BI visualization tool such as Looker or Tableau.
Benefits
- Remote-first culture with work-from-anywhere flexibility.
- In-company English lessons.
- Wellhub or sports club stipend.
- AWS, dbt, Google Cloud, Azure, and Databricks certifications fully covered.
- Food credits via Pedidos Ya.
- Birthday off and an extra vacation week.
- Referral bonuses.
- Annual team trip.
- Monthly childcare reimbursement.
Tech Stack
Categories
Data Engineering
About Muttdata
Muttdata provides consulting and delivery of custom machine-learning and AI systems, data platforms, and big-data pipelines for digital-native startups and enterprises. The privately held company, founded in 2017 and headquartered in Buenos Aires, is an AWS Advanced Consulting Partner with the AWS Advertising and Marketing Technologies Competency. Notable customers include Mercado Libre, Coca-Cola FEMSA Mexico, ClassDojo, and PayClip.