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Cloud Data Engineer

Company: Globant
Location: Seattle
Posted on: October 9, 2021

Job Description:


We are a digitally native company where innovation, design and engineering meet scale. We use the latest technologies in the digital and cognitive field to empower organizations in every aspect.

We want you to join us to work for the biggest clients in tech, retail, travel, banking, ecommerce and media, revolutionizing and growing their core businesses while helping them (and you!) stay ahead of the curve. Be part of a company with the most cutting-edge practices and technologies plus a unique team.




If you are a Cloud Data Engineer we want to meet you!




·   This candidate will work on building tools and a framework for data acquisition, conformance, and validation on the cloud.

·   The data acquisition involves defining and creating schema registry of the source system data using python or Java. Then automate the schema generation process and maintain.

·   The data conformance involves creating a framework that use stream processing to consume the landed data, apply transformation and sink the data to snowflake; Tools such as Kafka, KafkaStreams, Apache Flink and Java/Scala/Python will be used.

·   The data validation involves creating a framework that validates the source data with landed data, and landed data with conformed data; Tools such as Springboot, Java, Kafka and snowflake will be used.




·   Have 7+ years of experience developing with a mix of languages (Java, Scala, Python, SQL, etc.) and frameworks to implement data acquisition, processing, and serving technologies.

·   Experience with real-time and scalable systems are preferred.

·   Data and API ninja –You are also very handy with Streaming technologies such as Apache Kafka, Apache Flink; and framework such as Apache Spark. Understand reactive programming and dependency injection such as Spring to develop REST services.

·   Have a technology toolbox – Hands on experience with newer technologies relevant to the data space such as Spark, Kafka, and Snowflake. You’ll have plenty of experience with developing in a cloud native environment with many different technologies.

·   Expert knowledge of data systems and SQL

·   Experienced with Excel and data manipulation

·   Excellent communication skills and ability to interact with all levels of end users and technical resources.

·   Creative thinking and motivated self-starter.

·   Prior experience building scalable platforms – handling large scale data, operationalizing clusters in cloud environment.

·   Experience with open source such as Spring, Kafka, Flink, Spark, Snowflake, Cassandra and Yarn/Kubernetes.

·       Experience working in AWS cloud environment. 


All of our engineers are backed up by our Technical Directors and Studios (centers of excellence), and our project team(s) of amazing “Globers”.  Each team, while having their own personality, are part of the global tapestry that makes up our powerful culture of collaboration, agility and impact. 


Globant is an EOE M/F/D/V. For many positions, relocation is available if needed. Globant does not accept unsolicited third party resumes.


We are ready.

Keywords: Globant, Seattle , Cloud Data Engineer, Other , Seattle, Washington

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