Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Технические задачи описаны подробно, а стек актуален, но название не отражает фокус на миграции данных, и почти нет информации о проекте и условиях работы.
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Название не по сутиАктуальный стекУзкий фокус
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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