Trabajo de Data Engineer en Schneider Electric, Nuevo León - México

Data Engineer

Schneider Electric™ creates connected technologies that reshape industries, transform cities and enrich lives. Our 160,000 employees thrive in more than 100 countries. From the simplest of switches to complex operational systems, our technology, software and services improve the way our customers manage and automate their operations. Help us deliver solutions that ensure Life Is On everywhere, for everyone and at every moment.

Great people make Schneider Electric a great company

Join an exciting team and help drive transformation on our digital journey. Design and build innovative solutions to a broad range of data, analytic and application topics. Our Data Engineers are focused on Big Data solutions and platforms to create high impact solutions for data availability, quality and fit for purpose.

 

Key responsibilities include:

·          Design, build and operate robust and scalable data pipelines for streaming and batch data

·          Automate data sets for analytical consumption

·          Create and maintain optimized cloud based infrastructure

·          Re-architecting and re-platforming legacy data pipelines

·          Working in Agile development team

 

Required Qualifications:

·          Minimum 2 years of designing, building and operating data pipelines using AWS/Azure/GCP

·          Minimum 2 years of hands on experience building pipelines leveraging in Python, Scala, or Java

·          Minimum 2 years with Hadoop stack including Spark

·          Minimum 2 years of experience modelling data in normalized, denormalized and graph structures

·          Excellent proficiency with Python and SQL

·           Fluent English

 

Preferred Qualifications:

·          Bachelor's degree in Computer Science, Software Engineering or equivalent

·          AWS/Azure/GCP certification

·          Experience designing, building and operating publish-subscribe systems with Kafka, Kinesis, or Event Hubs

·          Experience with Data Warehousing solutions like Redshift, Presto, Greenplum

·          Experience implementing change data capture extraction processes and systems

·          Threat modeling