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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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Senior AWS Data Engineer | GFT Technologies | Remote Brazil

Senior AWS Data Engineer at GFT Technologies, developing data pipelines, metrics, and Lakehouse architecture. Modernizing data platforms for analytics, governance, and artificial intelligence.

BRBrazilijaNuotolinisVisas etatasVyresnysis specialistasPrivaloma Kalba: portugalųDebesijos inžinierius
ApacheAWSDebesijaDynamoDBETLHadoopMongoDBNoSQLPySparkPythonSparkSQLTerraform

Aprašymas

  • Manage and process high-volume data with ETL tooling.
  • Turn client business goals into information management and business intelligence strategies.
  • Maintain reliable data pipelines and secure information access.
  • Build and publish metrics and dashboards while protecting data quality and integrity.
  • Support data platform modernization through Lakehouse architecture, governance, quality, and preparation for analytics and AI.
  • Develop dimensional models for business teams, dashboards, and reporting.
  • Support the full data lifecycle, from ingestion and processing through storage, transformation, consumption, and governance.

Reikalavimai

  • Senior-level experience in data engineering and AWS.
  • Hands-on experience collecting, transforming, and loading data with ETL tools, Python, and PySpark.
  • Working knowledge of AWS Glue, EMR, Athena, SNS, Lambda, Step Functions, S3, Lake Formation, IAM, and CloudWatch.
  • Knowledge of NoSQL data modeling and databases such as MongoDB, DynamoDB, and Hadoop.
  • Understanding of Lakehouse architecture with Apache Iceberg, including table management, versioning, schema evolution, partitioning, and performance tuning.
  • Experience with large-scale query engines such as Athena, Trino, Presto, or Spark SQL, including query optimization and columnar formats such as Parquet and ORC.
  • Knowledge of dimensional modeling concepts, including facts, dimensions, granularity, keys, hierarchies, metrics, and indicators.
  • Experience handling structured, semi-structured, and unstructured data.
  • Experience conducting unit and performance testing.
  • Knowledge of cloud security practices, access controls, and monitoring.
  • AWS Practitioner or AWS Data Engineer certification is advantageous.
  • Experience with data quality and observability is advantageous.
  • Experience using infrastructure-as-code tools such as Terraform and CloudWatch is advantageous.
  • Knowledge of Data Mesh is advantageous.
  • Knowledge of applying AI to data is advantageous.
  • Strong analytical and problem-solving ability.
  • Ability to work independently and manage time effectively.

Privalumai

  • Flexible benefits card with choice over how and where funds are used.
  • Education support for undergraduate, graduate, MBA, and language studies.
  • Programs that reward professional certifications.
  • Flexible working hours.
  • Competitive compensation.
  • Annual performance review supported by a structured career development plan.
  • Opportunities for international career growth.
  • Access to Wellhub and TotalPass.
  • Private pension plan.
  • Childcare support.
  • Health insurance.
  • Dental and life insurance.
  • fields

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