Remote Senior Data Engineer: Real-Time Big Data Pipelines

Oracle; México; A distancia; MXN 1,465,000 - 2,199,000; Jornada completa

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.