+A Educação
+A Educação
501 – 1000 Darbinieki
AR/VRIzglītībaSaaS
+A Educação ir Brazīlijas izglītības grupa un edtech uzņēmums, kas darbojas digitālās mācīšanās, SaaS, izdevējdarbības un AR/VR jomā. Tās mācību pārvaldības sistēma Plataforma A atbalsta augstāko izglītību, piedāvājot digitālus mācību objektus, imersīvus resursus, virtuālās un fiziskās laboratorijas, kā arī iestāžu pārvaldības rīkus. Izmantojot Artmed un Grupo A, uzņēmums izstrādā arī medicīnas un starpdisciplināras mācību grāmatas, tiešsaistes kursus un tālākizglītības programmas veselības aprūpes speciālistiem.

Data Engineer, AWS and Data Warehousing

Build data warehouses, lakes, and pipelines for +A Educação. Support AWS infrastructure and strategic data across a Brazilian education ecosystem.

Apraksts

  • Design and develop the company’s data warehouse, data lake, and lakehouse architecture.
  • Build and optimize ETL/ELT workflows for ingesting and transforming data.
  • Develop and maintain reliable, scalable data pipelines.
  • Model databases using design patterns and Kimball dimensional modeling.
  • Configure and maintain data infrastructure in AWS.
  • Support and improve existing infrastructure.
  • Orchestrate data workflows with dbt and Prefect.
  • Work with PostgreSQL, Redshift, and Snowflake data warehouse platforms.
  • Maintain the availability, performance, and reliability of data systems.
  • Establish and maintain company-wide data governance.
  • Apply data engineering and data quality best practices.
  • Support governance and back-office teams.
  • Work with marketing, sales, technology, and other business teams.
  • Build automations, dashboards, and metrics for teams across the company.
  • Turn business rules into technical data solutions.

Prasības

  • A completed or in-progress degree in Computer Science, Computer Engineering, Mathematics, or Engineering.
  • Solid SQL and programming experience, preferably with Python.
  • Experience with PostgreSQL.
  • Knowledge of AWS infrastructure.
  • Proficiency with Prefect and dbt for data orchestration.
  • Knowledge of Snowflake or Redshift data warehouse platforms.
  • Knowledge of design patterns, Kimball dimensional modeling, and/or database modeling.
  • Knowledge of data architectures and data warehouse, data lake, and lakehouse modeling.
  • Knowledge of data solution architecture.

Priekšrocības

  • Fully remote work and a home office allowance.
  • Food and meal allowances.
  • Company-paid health and dental insurance premiums.
  • Wellhub (Gympass) membership.
  • Profit-sharing program.
  • A day off during your birthday month.
  • Education allowance for undergraduate study, language courses, and graduate programs.
  • Discounts at partner institutions.
  • Life insurance.

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