Senior Data Platform Engineer — Streaming at Scale (Hybrid)

Medallia

Municipio de Esquel

Híbrido

ARS 121.043.000 - 196.696.000

Jornada completa

Hace 12 días
Generador de candidaturas

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Descripción de la vacante

Medallia is seeking a skilled data platform engineer to own the end-to-end streaming data pipelines and analytics infrastructure. You will work on ingest, stream-processing, and projections across multiple domains, ensuring contracts and data quality.

This role emphasizes platform engineering, production readiness, and collaboration with SRE and product teams. The position offers a hybrid work model with onsite days in close cooperation with data teams, and a focus on scalable, observable

Formación

  • 5+ years experience building production-grade streaming pipelines.
  • Experience with distributed streaming platforms and schema-aware serialization.
  • English proficiency in writing and speaking.

Responsabilidades

  • Own pipeline slices end-to-end: ingest data into a distributed streaming platform.
  • Onboard new data domains and production entities with mapping and contracts.
  • Build and run stream-processing jobs in the cloud with checkpointing and runbooks.
  • Deploy and troubleshoot streaming workloads on a container orchestration platform.
  • Partner with downstream teams on data contracts and boundaries.

Conocimientos

Streaming pipelines
SQL / schema design
English proficiency
Independent work
Cross-functional collaboration

Herramientas

Kafka
Flink
Spark
Debezium CDC
StarRocks
ClickHouse
Druid
Pinot

Descripción del empleo

Medallia is seeking a skilled data platform engineer to own the end-to-end streaming data pipelines and analytics infrastructure. You will work on ingest, stream-processing, and projections across multiple domains, ensuring contracts and data quality.

This role emphasizes platform engineering, production readiness, and collaboration with SRE and product teams. The position offers a hybrid work model with onsite days in close cooperation with data teams, and a focus on scalable, observable

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