ASAAS
ASAAS
ASAAS razvija poglobljene 360-stopinjske virtualne oglede za podjetja in organizacije, ki iščejo privlačnejše digitalne izkušnje. Njegovo delo združuje 360-stopinjski video, snemanje z droni in interaktivne funkcije za ustvarjanje prilagojenih virtualnih okolij za področja, kot so izobraževanje, gostinstvo, muzeji in zdravstvo. Podjetje strankam pomaga predstaviti njihove prostore in storitve na spletu z bogatejšo in bolj interaktivno vizualno vsebino.

Senior Analytics Engineering Tech Lead

Lead analytics engineering at Asaas, setting standards for data quality and automating its analytics platform. Advance dbt, CI/CD, governance, and observability for a fintech serving more than 200,000 customers.

Opis

  • Set technical standards for Analytics Engineering at Asaas across data modeling, version control, testing, and documentation.
  • Architect a shared analytics platform layer designed for modularity, reuse, and scale.
  • Improve tools and developer workflows across dbt projects, macros, internal packages, CI/CD, environments, and templates.
  • Build and maintain data quality and observability practices, including automated tests, freshness checks, alerts, incident handling, and pipeline health metrics.
  • Partner with the Governance team to support reliable data through cataloging, documentation, access policies, and artifact lifecycle management.
  • Track data platform costs and performance, and optimize both.
  • Automate work and apply generative AI across the data lifecycle.
  • Follow developments in analytics engineering and turn relevant trends into team improvements.
  • Coach and grow team members through code reviews, pairing, and technical forums.
  • Build a collaborative, inclusive team focused on meaningful impact.

Zahteve

  • Experience providing formal or informal technical leadership to data teams
  • Experience with dimensional modeling and the development of scalable analytics pipelines
  • Advanced SQL skills
  • Experience with dbt, including project organization, macros, tests, and documentation
  • Experience with Databricks, Unity Catalog, Asset Bundles, permission management, and environment management
  • Experience with Python for pipeline orchestration and automation, using Airflow or an equivalent tool
  • Experience with structured code version control using Git and GitHub
  • Experience applying software engineering practices to data, including CI/CD, code reviews, and automated testing
  • Experience defining and implementing scalable technical standards for other data teams
  • Degree or equivalent experience in Engineering, Data Science, Computer Science, Information Systems, Statistics, Economics, or a related field
  • Preferred: Previous experience in fintech, payments, or financial services
  • Preferred: Knowledge of infrastructure as code (IaC) using Terraform
  • Preferred: Experience productionizing machine learning projects applied to digital products
  • Preferred: Participation in digital product architecture projects, such as data mesh, event-driven architecture, and CDC
  • Preferred: Experience with statistical testing and measuring product impact

Ugodnosti

  • Medical and dental insurance with no copay
  • Life insurance
  • Prescription medication assistance
  • Fitness allowance
  • Four free therapy or nutritionist sessions per month
  • Quick massage at headquarters
  • Flexible meal and food allowance on a Visa card
  • Complimentary food at headquarters
  • Childcare assistance
  • Parental support program
  • Extended maternity and paternity leave
  • In-house training platform
  • Education assistance covering 70% of tuition for undergraduate programs and language courses, as well as courses and books
  • Home office allowance
  • Work equipment
  • Furniture allowance
  • Partnership with WOBA for access to coworking spaces throughout Brazil
  • Birthday month day off
  • Happy hour allowance
  • Referral bonus for new hires
  • Bonus based on annual goals
  • Stock option plan
  • No dress code

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Odpri