4 часа назад
Data Engineer Semi-Senior (Databricks)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Engineer Semi-Senior (Databricks) (Python/Spark): Building batch and streaming data pipelines, semantic models, and transformations for data products with an accent on data contracts, quality rules, and data SLOs. Focus on guiding domain teams in data modeling and product boundaries, mentoring engineers and analysts, and improving platform templates and tooling.
Location: Argentina; remote in Latam
Company
is a remote startup building Big Data and Machine Learning systems, data infrastructures, and custom AI solutions for demand planning, forecasting, advertising, visual recognition, and recommendations.
What you will do
- Co-develop batch and streaming pipelines, semantic models, and transformations on Databricks using Python and Spark.
- Define and maintain data contracts, data 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 with Databricks, Python, and Spark for batch and streaming data processing.
- Basic or intermediate English.
- Familiarity with a BI visualization tool such as Looker or Tableau.
Culture & Benefits
- Remote-first culture with work-from-anywhere benefits.
- In-company English lessons.
- Wellhub or sports club stipend.
- Certifications in AWS, dbt, Google Cloud, Azure, and Databricks are fully covered.
- Food credits, a birthday day off, and an additional vacation week.
- Referral bonuses, an annual team trip, and monthly childcare reimbursement.
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