CI&T
CI&T
CI&T – 1995 m. įkurta pasaulinė technologinės transformacijos įmonė, padedanti organizacijoms modernizuoti skaitmeninių produktų ir paslaugų kūrimą, veikimą bei sąveiką su klientais. Įmonės veikla apima programėlių modernizavimą, debesijos sprendimus, dirbtinį intelektą ir duomenų analizę, klientų patirtį, produktų dizainą, strategines konsultacijas bei įtraukiančias patirtis. CI&T sujungia konsultavimo, sveikatos priežiūros ir rinkodaros sričių patirtį su technologinėmis ir verslo kompetencijomis, kad padėtų organizacijoms siekti augimo ir efektyvinti veiklą.

Azure Databricks Data Engineer — CI&T, Brazil Hybrid

Build scalable data pipelines with Azure and Databricks at CI&T, a technology transformation company. Work across Data Lakehouse, ETL/ELT, and analytics initiatives.

Aprašymas

  • Design and improve scalable pipelines with Azure Databricks and Azure Data Factory
  • Build ETL/ELT workflows covering ingestion, transformation, and data delivery
  • Implement Medallion Architecture and Data Lakehouse solutions across Bronze, Silver, and Gold layers
  • Create data solutions with PySpark, Spark SQL, SQL, and Python
  • Use Delta Lake to support data quality, consistency, performance, and reliability
  • Develop and refine data models for business intelligence and analytics use cases
  • Connect varied data sources and systems, including relational databases and APIs
  • Partner with BI, data science, engineering, and business teams
  • Follow practices for quality assurance, data governance, version control, and CI/CD
  • Apply generative AI tools and coding assistants to improve development efficiency and quality
  • Support global transformation and modernization programs involving cloud, data, and artificial intelligence

Reikalavimai

  • Demonstrated experience working as a Data Engineer in production environments
  • Strong hands-on experience with Azure Databricks
  • Advanced PySpark and Apache Spark skills, including processing and tuning large datasets
  • Advanced SQL proficiency
  • Practical experience using Python for data engineering
  • Experience building and orchestrating pipelines with Azure Data Factory
  • Understanding of ETL/ELT and Medallion Architecture across Bronze, Silver, and Gold layers
  • Experience with Delta Lake and Data Lakehouse environments
  • Knowledge of dimensional and relational data modeling
  • Experience with Git and version-control practices, preferably in Bitbucket
  • Knowledge of CI/CD tools and practices, including Azure Pipelines or Azure DevOps
  • Experience with relational databases such as SQL Server or Oracle
  • Practical, analytical, and solution-focused approach to work
  • Ability to investigate problems independently and recommend improvements
  • Preferred experience includes Kimball methodology and multidimensional models; Azure Purview or other data governance and catalog tools; Azure DevOps for data pipelines; streaming technologies such as Spark Structured Streaming or Azure Event Hubs; Erwin or comparable tools; GitHub Copilot, Databricks Assistant, or similar AI tools; and Azure DP-203 or Databricks certifications

Privalumai

  • Health and dental coverage
  • Meal and food allowances
  • Childcare assistance
  • Extended parental leave
  • Access to gyms and health and wellness providers through Wellhub (Gympass) and TotalPass
  • Profit-sharing and results-based bonus (PLR)
  • Life insurance
  • Ongoing learning through CI&T University
  • Discount club membership
  • Free online resources supporting physical and mental health and well-being
  • Pregnancy and responsible parenthood course
  • Partnerships with online course providers
  • Language-learning platform
  • Recruitment support and accommodations for people with disabilities
  • Dedicated health and well-being team
  • Inclusion specialists and affinity groups

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