Data Engineer

Design, develop, test, deploy, maintain, and support production quality code. Understand operational characteristics of production systems, identify abnormalities, andrespond to and fix abnormalities. Plan, track, and report on work progress. Accurately estimate stories and tasks considering their level-of-effort, complexity, anduncertainty. Debrief on team performance and make incremental, small changes to supportimprovements. Celebrate successes with your team!

At Inclusion we specialize in end-to-end development of Cloud and Mobile solutions, and complex Cloud to Cloud integrations of SAP, Salesforce and third party applications with IoT, drones, Machine Learning and advanced analytics. We provide agile teams, Senior IT profiles and support to global clients' mission critical applications. We are located in Buenos Aires, Santiago de Chile and Washington D.C.

Requisitos

Hands on experience and proficiency in a professional product with: Python Pyspark SQL At least one Big Data Technology (e.g. Hive, Hadoop, Presto,) ETL with Data Lake Architectures At least one Workflow Technology (e.g. Airflow,)