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GFT Technologies
GFT Technologies
DraudimasKibernetinis saugumasKonsultavimas
GFT Technologies yra technologijų ir skaitmeninės transformacijos įmonė, veikianti konsultavimo, draudimo ir kibernetinio saugumo srityse. Jos platforma „Cookiebot“ padeda organizacijoms rinkti ir valdyti naudotojų sutikimus bei padeda laikytis privatumo reglamentų, įskaitant BDAR ir CCPA. Įmonės sprendimai sukurti taip, kad būtų integruojami į esamas skaitmenines aplinkas, o jais visame pasaulyje naudojasi daugiau kaip 600 000 klientų, siekiančių skaidriau ir geriau kontroliuoti asmens duomenų tvarkymą.
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Darbai įmonėje

Senior Data Engineer — Remote in Brazil

Senior Data Engineer building scalable pipelines and data platforms for GFT Technologies’ analytical initiatives. The role focuses on performance, data quality, and governance across distributed environments.

BRBrazilijaNuotolinisVisas etatasVyresnysis specialistasPrivaloma Kalba: portugalųDuomenų inžinierius
AirflowAmazon RedshiftApacheAWSETLKafkaNoSQLScalaSparkTerraform

Aprašymas

  • Build and expand scalable data platforms that enable analytical and strategic initiatives.
  • Create and maintain resilient, high-performance pipelines for large-scale data processing.
  • Handle substantial volumes of structured and unstructured data.
  • Safeguard data quality, consistency, and governance across the full data lifecycle.
  • Develop workflows for ingesting, transforming, and delivering data.
  • Partner with software engineers, analysts, data scientists, and business stakeholders.
  • Help shape data architecture decisions and assess emerging tools and technologies.
  • Track and improve data-processing workflows in distributed systems.
  • Contribute to the modernization and ongoing development of data platforms.

Reikalavimai

  • Substantial Data Engineering experience in distributed computing environments.
  • Advanced proficiency with Apache Spark and Scala.
  • Hands-on experience with AWS services including Glue, S3, EMR, Athena, and Redshift.
  • Understanding of data modeling, ETL/ELT processes, and pipeline engineering.
  • Working knowledge of relational and NoSQL database technologies.
  • Experience processing data through both batch and streaming models.
  • Knowledge of established practices for data quality, security, and governance.
  • Proficiency with Git-based version control.
  • Experience with Apache Kafka or Amazon MSK is preferred.
  • Knowledge of modernizing legacy systems is preferred.
  • Experience with Delta Lake, Apache Hudi, or Apache Iceberg is preferred.
  • Familiarity with data-focused DataOps and CI/CD tools such as dbt, Airflow, and Terraform is preferred.
  • Experience designing or working with Lakehouse architectures is preferred.
  • Background handling high-volume data environments is preferred.
  • Knowledge of data observability and pipeline monitoring is preferred.
  • Collaborative mindset and enthusiasm for team-based work.
  • Strong analytical and problem-solving abilities.
  • Capacity to work autonomously, organize priorities, and manage time effectively.
  • Interest in solving complex, innovative technology challenges.

Privalumai

  • Flexible multi-benefit card with choice over how and where funds are used.
  • Scholarships for undergraduate, postgraduate, MBA, and language education.
  • Programs that reward professional certifications.
  • Flexible working schedules.
  • Competitive compensation.
  • Annual performance assessment supported by a structured career-development plan.
  • Opportunities to pursue an international career.
  • Access to Wellhub and TotalPass.
  • Private pension scheme.
  • Childcare support.
  • Private medical coverage.
  • Dental coverage.
  • Life insurance.

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