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Remote Senior Data Engineer: Real-Time Big Data Pipelines

Oracle

México

A distancia

MXN 1,465,000 - 2,199,000

Jornada completa

Hoy
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Descripción de la vacante

A leading technology company is seeking a Senior Big Data Engineer in Mexico to design and manage data integration solutions. The successful candidate will have extensive experience with ETL/ELT processes and API-driven integrations. You will also collaborate with stakeholders to optimize big data solutions. Ideal qualifications include expertise in big data frameworks and hands-on experience with data modeling and cloud platforms.

Formación

  • Proficiency in Python, Java, or Scala for big data processing.
  • Strong expertise in Apache Spark, Hadoop, Hive, Flink, or Kafka.
  • Hands-on experience with data modeling, data lakes, and data warehouses.
  • Expertise in using tools for ETL/ELT development.
  • Strong hands-on experience with various APIs and integration platforms.

Responsabilidades

  • Architect and design scalable big data solutions.
  • Develop and maintain ETL/ELT pipelines.
  • Integrate data from cloud applications and on-prem systems.
  • Implement and manage data lakes and data warehouses.
  • Collaborate with stakeholders to align integration solutions.

Conocimientos

Python
Java
Scala
Apache Spark
Hadoop
Hive
Flink
Kafka
ETL tools like Informatica
Data modeling

Herramientas

Informatica
Talend
Apache NiFi
Snowflake
PostgreSQL
MongoDB
Docker
Kubernetes
Descripción del empleo
A leading technology company is seeking a Senior Big Data Engineer in Mexico to design and manage data integration solutions. The successful candidate will have extensive experience with ETL/ELT processes and API-driven integrations. You will also collaborate with stakeholders to optimize big data solutions. Ideal qualifications include expertise in big data frameworks and hands-on experience with data modeling and cloud platforms.
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