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3 дня назад

Master Data Developer (Databricks)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Brazil
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Master Data Developer (Databricks) (Data Engineering/AWS): Building and optimizing scalable data pipelines, migration workflows, and data architectures for analytics and business intelligence with an accent on Databricks-to-AWS migration, Delta Lake-to-Iceberg conversion, streaming reliability, and data quality. Focus on refactoring storage paths, re-bootstrapping streaming checkpoints, validating migrated data, managing AWS security integrations, and optimizing ETL performance.

Location: Brazil; hybrid workplace.

Company

CI&T delivers AI deployment, application modernization, data and AI, Martech, and business strategy solutions for large enterprises.

What you will do

  • Build, optimize, and maintain scalable data pipelines and ETL/ELT processes for analytics and business intelligence.
  • Implement data lakes, warehouses, integration layers, and other data architectures.
  • Implement data quality checks, validation processes, monitoring, security practices, and data privacy compliance.
  • Develop integrations between data sources, third-party tools, APIs, and analytics platforms.
  • Monitor pipeline performance, query efficiency, and storage costs while maintaining technical documentation.
  • Collaborate with Data & Analytics Managers and business stakeholders, using AI tools and automation to improve data engineering workflows.

Requirements

  • Hands-on experience with Databricks migration using the databricks/migrate tool, including notebooks, jobs, clusters, secrets, ACLs, Unity Catalog, and Glue Catalog.
  • Experience migrating notebooks, DAG pipelines, and DLT pipelines.
  • Experience refactoring /mnt/ and DBFS references to S3-backed storage locations.
  • Experience executing data migrations from Delta Lake to Iceberg on S3, including Delta tables, raw files, and incremental synchronization.
  • Experience with streaming migration, including Auto Loader, DLT checkpoint re-bootstrap, and event ID deduplication.
  • Experience validating migrations through row counts, checksums, sample queries, and ETL runtime comparisons.
  • Experience recreating secret scopes in AWS Secrets Manager.
  • Knowledge of AWS S3, Glue, Secrets Manager, IAM basics, Athena, Lake Formation, and EMR.
  • Knowledge of Spark SQL, PySpark, Java, Python, and Scala.
  • Experience working in an Agile pod with daily ticket updates, standups, and code review.

Nice to have

    Culture & Benefits

    • Hybrid work arrangement in Brazil.
    • Collaboration with teams across more than 25 countries.
    • Benefits are provided as part of the CI&T employment offering.

    Hiring process

    • Present an assessment during the selection process.
    • Support is available for obtaining the assessment if needed.

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