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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

Senior AWS data engineer modernizing GFT Technologies’ Lakehouse platform. Builds Python and PySpark pipelines and supports data governance, analytics, and AI.

BRBrazīlijaAttālinātiPilna slodzeVecākais speciālistsNepieciešamā Valoda: portugāļuMākoņinženieris
ApacheAWSDynamoDBETLHadoopMākonisMongoDBNoSQLPySparkPythonSparkSQLTerraform

Apraksts

  • Gather, organize, and process large datasets with ETL tools.
  • Turn client business objectives into information management and business intelligence strategies.
  • Build and maintain data pipelines with secure access to information.
  • Create metrics and dashboards from collected data, maintaining information quality and integrity.
  • Help modernize the data platform through Lakehouse architecture, governance, quality, and preparation for analytics and AI.
  • Design dimensional models for business teams, dashboards, and reports.
  • Contribute across the data lifecycle, from ingestion and processing through storage, transformation, consumption, and governance.
  • Build and tune pipelines with Python, PySpark, and AWS services.
  • Work with Apache Iceberg on analytical table management, versioning, schema evolution, partitioning, and performance tuning.
  • Use engines such as Athena, Trino, Presto, or Spark SQL to query large datasets in columnar formats including Parquet and ORC.
  • Implement unit and performance tests, security practices, access controls, and cloud monitoring.
  • Improve the quality, traceability, integrity, and efficiency of data processes.

Prasības

  • Experience gathering, transforming, and loading data with ETL tools.
  • Experience using Python and PySpark.
  • Experience with AWS services such as Glue, EMR, Athena, SNS, Lambda, Step Functions, S3, Lake Formation, IAM, and CloudWatch.
  • Knowledge of NoSQL databases such as MongoDB and DynamoDB, and related Hadoop technologies.
  • Experience with Lakehouse architecture and Apache Iceberg, including analytical table management, versioning, schema evolution, partitioning, and performance tuning.
  • Experience with large-scale query engines such as Athena, Trino, Presto, or Spark SQL.
  • Knowledge of columnar data formats such as Parquet and ORC.
  • Experience with dimensional modeling, including facts, dimensions, granularity, keys, hierarchies, metrics, and KPIs.
  • Experience processing structured, semi-structured, and unstructured data.
  • Knowledge of unit and performance testing.
  • Experience applying security practices, access controls, and monitoring in cloud environments.
  • AWS Cloud Practitioner and AWS Data Engineer certifications are a plus.
  • Experience with data quality and data observability is a plus.
  • Knowledge of infrastructure as code tools such as Terraform and monitoring tools such as CloudWatch is a plus.
  • Knowledge of Data Mesh is a plus.
  • Knowledge of applying artificial intelligence to data is a plus.
  • Problem-solving ability.
  • Ability to work independently and manage time effectively.

Priekšrocības

  • A multi-benefit card with flexibility to choose how and where to spend it.
  • Scholarships for undergraduate and graduate study, MBA programs, and language courses.
  • Programs that support professional certifications.
  • Flexible working hours.
  • Competitive pay.
  • Annual performance reviews and a structured career development plan.
  • International career opportunities.
  • Access to Wellhub and TotalPass.
  • Private pension plan.
  • Childcare assistance.
  • Medical insurance.
  • Dental insurance.
  • Life insurance.

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