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Tech Stack
Tools & technologiesSparkSQL
About the role
Key responsibilities & impact- Data modeling (facts, dimensions, metrics) and maintenance of pipelines/transformations using SQL and the team’s tools (e.g., dbt, Spark, or Databricks).
- Contribute to quality tests and the documentation of metrics and business rules.
- Assist in delivering tables/views for analytical consumption, ensuring best practices (naming, descriptions, consistency).
- Work alongside Data Engineering, BI/Analysts, and Data Science (on well-defined tasks).
- Participate in governance initiatives (lineage, catalog, access) and in gradual improvements to data reliability.
Requirements
What you’ll need- Degree in Engineering, Computer Science, Statistics, Economics, or a related field
- Intermediate SQL (queries, joins, aggregations) and a desire to grow into modeling and transformation best practices
- Basic knowledge of dimensional modeling / data layers and data quality (the team will help you deepen these skills)
- Interest in governance (documentation, consistency, traceability)
- Good communication, organization, and teamwork; curious profile with the ability to learn quickly
Benefits
Comp & perks- Comprehensive health coverage including medical and dental plans, telemedicine, life insurance, and Gympass
- Mental health support via Dasa telemedicine
- Employee discount on our products (we offer products for employees at special prices)
- Year-end celebrations with a Christmas hamper and toys for employees with children
- Financial protection through our private pension plan
- Option to choose either a meal allowance or a food allowance (to cover groceries or dining)
- Transportation voucher is optional; check the job posting for the applicable model
- Opportunity to receive an attendance bonus (a 14th salary), an extra annual payment
- Childcare support or nanny assistance
- Company profit-sharing
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
SQLdata modelingdimensional modelingdata qualitydata transformationsdata pipelinesquality testsmetricsbusiness rulesanalytical tables/views
Soft Skills
communicationorganizationteamworkcuriosityability to learn quickly
