Avanade
Avanade
Avanade бизнеске бұлтқа негізделген сілтемелерді басқару және цифрлық байланыс құралдарын ұсынады. Оның платформасы URL мекенжайларын қысқартуды, брендтелген сілтемелерді, динамикалық және GS1 Digital Link пішімдерін қоса алғанда QR кодтарын, мобильді қону беттерін, цифрлық визиткаларды, UTM науқандарын бақылауды, сілтемелер аналитикасын, API интерфейстерін және интеграцияларды қолдайды. Бұл мүмкіндіктер маркетинг, әзірлеу және клиенттерге қызмет көрсету топтарына цифрлық арналардағы клиенттермен өзара әрекеттесуді құруға, басқаруға және өлшеуге, сондай-ақ корпоративтік қауіпсіздік пен сәйкестік талаптарына арналған мүмкіндіктерді пайдалануға көмектеседі.

Data Engineer – São Paulo (Hybrid)

Join Avanade as a Data Engineer in São Paulo, designing data platforms and pipelines for analytics, AI, and digital products. Build secure, scalable solutions that deliver measurable business value.

Сипаттама

  • Design and maintain batch and streaming data pipelines with Python, PySpark, and SQL
  • Build and orchestrate reliable, observable ETL/ELT workflows with logging, metrics, and alerts
  • Create OLTP and OLAP data models that support BI, analytics, and AI use cases
  • Manage code and artifact quality, versioning, and reproducibility through GitHub workflows, pull requests, and reviews
  • Develop unit, integration, and data tests while defining end-to-end testing approaches
  • Apply architectural practices that improve modularity, security, performance, and cost efficiency
  • Partner with analysts, data scientists, and product teams to turn business needs into scalable data solutions
  • Document data assets, processes, and architectural decisions to support knowledge sharing
  • Advance data environments through automation, standardization, and performance optimization

Талаптар

  • Proficiency with Python and PySpark for data manipulation, transformation, and distributed processing
  • Strong SQL expertise, including data modeling, query tuning, CTEs, window functions, and partitioning
  • Experience modeling transactional OLTP and multidimensional OLAP data
  • Experience building and orchestrating ETL/ELT workflows with Airflow, Databricks Jobs, or similar tools
  • Knowledge of data-focused software architecture, including design patterns, security, scalability, and cost efficiency
  • Hands-on GitHub experience with GitFlow, pull requests, semantic versioning, and basic GitHub Actions
  • Experience designing and executing tests, including data-quality and schema-validation checks
  • Experience with CI/CD pipelines for data is a plus
  • Knowledge of non-relational platforms such as data lakes, NoSQL, document, columnar, and graph databases is a plus
  • Cloud experience is a plus, preferably with Azure services including Data Lake Storage, Databricks, Synapse, Fabric, and Key Vault
  • Exposure to data governance and security practices such as lineage, catalogs, and RBAC/ABAC is a plus
  • Microsoft Azure certifications such as DP-203, AZ-900, DP-900, or related credentials are a plus
  • Databricks Lakehouse Fundamentals or Data Engineer Associate/Professional certification is a plus
  • Intermediate to advanced English proficiency

Артықшылықтар

  • Meal or food allowance
  • Multi-benefit card available up to Senior Consultant level
  • Medical and dental insurance
  • Certification and training support
  • Life insurance
  • Private pension plan
  • Avababy pregnancy support and a welcome kit for new parents
  • Company profit-sharing plan
  • Wellhub membership
  • Childcare allowance
  • Career mentoring
  • Birthday Off policy for employees and their children up to age 12
  • Wellness sessions
  • For management roles, company vehicle, parking, and fuel allowance

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