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GFT Technologies
GFT Technologies
ApdrošināšanaKiberdrošībaKonsultācijas
GFT Technologies ir tehnoloģiju un digitālās transformācijas uzņēmums, kas darbojas konsultāciju, apdrošināšanas un kiberdrošības jomā. Tā Cookiebot platforma palīdz organizācijām vākt un pārvaldīt lietotāju piekrišanas, vienlaikus atbalstot privātuma regulējuma, tostarp GDPR un CCPA, ievērošanu. Uzņēmuma risinājumi ir izstrādāti integrēšanai esošajās digitālajās vidēs, un tos visā pasaulē izmanto vairāk nekā 600 000 klientu, lai personas datus apstrādātu ar lielāku pārskatāmību un kontroli.
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Vakances uzņēmumā

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.

BRBrazīlijaAttālinātiPilna slodzeVecākais speciālistsNepieciešamā Valoda: portugāļuMākoņinženieris
ApacheAWSDynamoDBETLHadoopMākonisMongoDBNoSQLPySparkPythonSparkSQLTerraform

Apraksts

  • 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.

Prasības

  • 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.

Priekšrocības

  • 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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