Data Engineer Parque Patricios
Summary
Builds and maintains end-to-end data pipelines and warehouses using Azure or GCP stacks, focusing on Spark/Scala and CI/CD automation.
Key responsibilities
- Functions as principal developer - Support System Analysis, Technical/Data design and architecture, coding/unit testing, and oversee end-to-end data solution.
- Lends support to system analysis, design and end-to-end testing, and may manage a team of developers.
- Strong technical SME in Azure components – Azure Functions, ADF, Databricks, EventHub, Synapse, Datawarehouse, Cosmos, Azure SQL, ADLS, SPARK and SCALA programming (ALL BIG DATA ENGINEERING SKILLS)Performance tuning, framework design and development(OR)
- Functions as principal developer - Support System Analysis, Technical/Data design and architecture, coding/unit testing, and oversee end-to-end data solution.
- Lends support to system analysis, design and end-to-end testing, and may manage a team of developers.
- Strong technical SME in GCP components – BigQuery, DataFlow, BigTable, GCS, DataForm, Python Scripting, EventHub, Kafka, Data Lakes, SQL, or SPARK and SCALA programming, TensorflowStrong CI/CD experience, ability to manage and deploy branches, automation of testing, (ALL BIG DATA ENGINEERING SKILLS)
Beneficios
- Prepaga Swiss Medical Premium 5 dias off luego de los 6 meses de antiguedad (validos de marzo a septiembre)
- Acceso a Udemy y LinkedIn learning para cursos y certificaciones
- Revisiones salariales cada 3 meses.
- Hibrida en Parque Patricios, CABA