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Data Engineer - Excelente Remuneracion

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ID Oferta:

24263

Ubicación:

Ciudad Autónoma de Buenos Aires, Buenos Aires 

Categoría:

Data Analytics, Data Science
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Tipo de Puesto:

Full-time, Part-time, Por Contrato, Temporario, Remoto

Fecha:

21/09/2020
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Descripción de la Oferta:

Responsibilities:

  • Work with business users to understand business requirements
  • Translate business requirements to technical designs
  • Implement technical architectures using best practices
  • Design and implement highly scalable, resilient, available and maintainable systems
  • Put implementations into production and provide production support
  • Mentor junior engineers

Qualifications

Required Technical Skills

  • Bachelor of Science in Computer Science or related fields.
  • 5+ years designing, implementing and supporting big data pipelines
  • Solid experience developing with languages like Java, Scala, Python
  • Solid experience with Linux skills like CentOS, Ubuntu, shell scripting, light admin
  • Solid experience with DB skills like Oracle, Postgres, JDBC, SQL, query optimization
  • Solid experience with middle tier solutions like Tomcat, JEE, Spring, Hibernate, ORM
  • Solid experience with CI/CD tools like svn, git, Jenkins, JUnit, TDD
  • Experience implementing pipelines on cloud providers like AWS, GCP, Azure
  • Experience with NewSQL solutions like Cassandra, Snowflake, Clickhouse, BigQuery
  • Experience with networking concepts like REST, HTTP, TCP/IP, UDP, Load Balancers
  • Experience with SMACK (Spark, Mesos, AKKA, Cassandra, Kafka) stack or equivalent
  • Experience with Hadoop ecosystem including HDFS, Map/Reduce, Hive
  • Experience with streaming solutions like Kafka, Kinesis, Spark
  • Experience with messaging systems like MQSeries, ActiveMQ

Nice to have

  • Master of Science or PhD in Computer Science or related fields
  • Machine Learning experience with scikit-learn, Numpy, Pandas, CatBoost, lightGBM
  • Deep Learning experience with CNNs, RNNs, Kaggle, Fast.ai, Keras, PyTorch
  • Devops experience with IaC, Terraform, Docker, Kubernetes, AWS, GCP
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Empresa
DaBrein Solutions
DaBrein Solutions Lavalle 1675 Piso 4
Ciudad Autónoma de Buenos Aires, Buenos Aires, Argentina
Web: www.dabrein.com
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Empresa


DaBrein Solutions
Lavalle 1675 Piso 4
Ciudad Autónoma de Buenos Aires, Buenos Aires, Argentina
Teléfono: 4371-5147
Web: www.dabrein.com

Data Engineer - Excelente Remuneracion

col-narrow-left   

ID Oferta:

24263

Ubicación:

Ciudad Autónoma de Buenos Aires, Buenos Aires 

Categoría:

Data Analytics, Data Science
col-narrow-right   

Tipo de Puesto:

Full-time, Part-time, Por Contrato, Temporario, Remoto

Fecha:

21/09/2020
col-wide   

Descripción de la Oferta:

Responsibilities:

  • Work with business users to understand business requirements
  • Translate business requirements to technical designs
  • Implement technical architectures using best practices
  • Design and implement highly scalable, resilient, available and maintainable systems
  • Put implementations into production and provide production support
  • Mentor junior engineers

Qualifications

Required Technical Skills

  • Bachelor of Science in Computer Science or related fields.
  • 5+ years designing, implementing and supporting big data pipelines
  • Solid experience developing with languages like Java, Scala, Python
  • Solid experience with Linux skills like CentOS, Ubuntu, shell scripting, light admin
  • Solid experience with DB skills like Oracle, Postgres, JDBC, SQL, query optimization
  • Solid experience with middle tier solutions like Tomcat, JEE, Spring, Hibernate, ORM
  • Solid experience with CI/CD tools like svn, git, Jenkins, JUnit, TDD
  • Experience implementing pipelines on cloud providers like AWS, GCP, Azure
  • Experience with NewSQL solutions like Cassandra, Snowflake, Clickhouse, BigQuery
  • Experience with networking concepts like REST, HTTP, TCP/IP, UDP, Load Balancers
  • Experience with SMACK (Spark, Mesos, AKKA, Cassandra, Kafka) stack or equivalent
  • Experience with Hadoop ecosystem including HDFS, Map/Reduce, Hive
  • Experience with streaming solutions like Kafka, Kinesis, Spark
  • Experience with messaging systems like MQSeries, ActiveMQ

Nice to have

  • Master of Science or PhD in Computer Science or related fields
  • Machine Learning experience with scikit-learn, Numpy, Pandas, CatBoost, lightGBM
  • Deep Learning experience with CNNs, RNNs, Kaggle, Fast.ai, Keras, PyTorch
  • Devops experience with IaC, Terraform, Docker, Kubernetes, AWS, GCP