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Data Engineer Advertima

Descrição da vaga

¡Sé parte de Stefanini!​

En Stefanini somos más de 30.000 genios, conectados desde 41 países, haciendo lo que les apasiona y co-creando un futuro mejor.​

Responsabilidades e atribuições

Data Engineer.

As part of the Data Engineer team, you will be responsible for design, development and operations of large-scale data systems operating at petabytes scale. You will be focusing on real-time data pipelines, streaming analytics, distributed big data and machine learning infrastructure. You will interact with the engineers, product managers, BI developers and architects to provide scalable robust technical solutions.




Essential Job Functions & Responsibilities: 

·      Min 6-8 years of BIG data development experience.

·      Demonstrates up-to-date expertise in Data Engineering, complex data pipeline development.

·      Experience in agile models

·      Design, develop, implement and tune large-scale distributed systems and pipelines that process large volume of data; focusing on scalability, low -latency, and fault-tolerance in every system built.

·      Experience with Java, Python to write data pipelines and data processing layers

·      Experience in Airflow & Github.

·      English conversational

·      Experience in writing map-reduce jobs.

·      Demonstrates expertise in writing complex, highly-optimized queries across large data sets

·      Proven, working expertise with Big Data Technologies Hadoop, Hive, Kafka, Presto, Spark, HBase.

·      Highly Proficient in SQL.

·      Experience with Cloud Technologies ( GCP, Azure)

·      Experience with relational model, memory data stores desirable ( Oracle, Cassandra, Druid)

·      Provides and supports the implementation and operations of the data pipelines and analytical solutions

·      Performance tuning experience of systems working with large data sets

·      Experience in REST API data service – Data Consumption

·      Retail experience is a huge plus.

Requisitos e qualificações

Experiencia sólida en ingeniería de datos, manejo de grandes volúmenes de información, ETL, modelado de datos, y herramientas como Spark, Python, SQL, etc.

Informações adicionais

  • Sueldo acorde a experiencia
  • Prestaciones de Ley
  • Días extra con goce se sueldo
  • Convenios en escuelas de idiomas, entretenimiento, cursos y más
  • Vales de despensa

Etapas do processo

  1. Etapa 1: Cadastro
  2. Etapa 2: Presentación de CV
  3. Etapa 3: Entrevista
  4. Etapa 4: Confirmación de candidato
  5. Etapa 5: Onboarding
  6. Etapa 6: Contratação