Data Engineer - Big Data

Modalidad Híbrida ( Toreo - CDMX)

Requisitos:

Experiencia mínima de 5 Años como Data Engineer

Lic. o Ing. En Sistemas, Computación o afín

Inglés: Conversacional ( Puede negociarse un nivel intermedio)

Requisitos Técnicos:

• BIG data development experience.
• Demonstrates up-to-date expertise in Data Engineering, complex data pipeline development.
• Experience in agile models
• Design, develop, implement and tune large-scale distributed systems and pipelines that process large volume of data; focusing on scalability, low -latency, and fault-tolerance in every system built.
• Experience with Java, Python to write data pipelines and data processing layers
• Experience in Airflow & Github.
• Experience in writing map-reduce jobs.
• Demonstrates expertise in writing complex, highly-optimized queries across large data sets
• Proven, working expertise with Big Data Technologies Hadoop, Hive, Kafka, Presto, Spark, HBase.
• Highly Proficient in SQL.
• Experience with Cloud Technologies ( GCP, Azure)
• Experience with relational model, memory data stores desirable ( Oracle, Cassandra, Druid)
• Provides and supports the implementation and operations of the data pipelines and analytical solutions
• Performance tuning experience of systems working with large data sets
• Experience in REST API data service – Data Consumption

Ofrecemos:

Sueldo entre $70,000 a $75,000 Brutos Mensuales

Prestaciones d Ley y Superiores ( Vales + Apoyo de Conectividad+ Seguro de Vida + Seguro de Gastos Médicos Mayores)

Capacitación constante

100% Nominal