Senior Data Engineer at Ensiteam | Torre

Senior Data Engineer

You will architect scalable data solutions and MLOps frameworks to drive innovation for diverse clients.
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Full-time

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Remote (for Argentina residents)
Remote (for Bolivia residents)
Remote (for Brazil residents)
Remote (for Chile residents)
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Shared by
Juan Fernando Domínguez
3 months ago

Requirements and responsibilities


Senior Data Engineer with experience in MLOps, cloud technologies, and scalable data architectures. 5+ years as Data Engineer or MLOps Engineer. Proficiency in Python, Java, or Scala. Experience with GCP (preferred), AWS or Azure. BigQuery or Snowflake/Redshift. ML frameworks (TensorFlow, PyTorch). Docker, Kubernetes, ETL pipelines, Git. Nice to have: Kafka/Spark/Flink, DBT, Looker, ML deployment patterns. LATAM-only remote role: 100% remote for LATAM region.
Optionally, you can add more information later (benefits, pre-screening questions, etc.)
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