7 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 improve platform templates, tooling, and engineering patterns.
Requirements
- Experience in data engineering, including building and optimizing data pipelines.
- Experience working with Databricks, Python, and Spark to build batch and streaming systems.
- Intermediate level of English.
- Familiarity with a BI visualization tool such as Looker or Tableau.
Benefits
- Remote-first culture with work-from-anywhere flexibility.
- AWS, DBT, Google Cloud, Azure, and Databricks certifications fully covered.
- In-company English lessons.
- Birthday off and an extra vacation week.
- Referral bonuses.
- Monthly Maslow credits for the benefits marketplace.
- 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.