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The Chip and JoannaGainesat developing data pipelines. Like turning afixer-upperhouse into thebest on the block, you turn complicated datasets into useful,showstoppingformats. You live in the cloud and open-source world and enjoy working with your team to bring all the pieces of the data story together, keepingratingshigh andviewerswowed. What does a good time look like to you? Hanging out on the reddit big data feeds and chatting about the latest advances in machine learning and AI. And of course, you alwaysstay tunedfor what is coming next.
- Experience in the full software development lifecycle, utilizing emerging technologies and big data design principles in developing data pipelines, interfaces, and architecture to support big data and analytics initiatives.
- Collaborate with other engineers, data analysts, data scientists, and data visualizers to bring powerful analytical solutions and insights to our clients
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Here's what you need:
- Data Engineering or Big Data Technologies
- Cloud Technologies ( Azure or GCP or AWS)
- SQL and/or NOSQL databases to organize the collection, processing, and storing of data from different sources
- Architecting and building scalable data platforms
- One more thing, this role requires US Citizenship
- Open-source technologies such as Spark, Kafka, Presto, Hive, Cassandra, Hadoop
- Experience with 1 of 3 - Java, Scala, and Python programming languages. For example, utilizing Python to build data sorting algorithms and ETL scripts.
- Conversant with cloud native CLIs for various data engineering related activities such as setting up compute and storage resources, IAM and ETL
- Professional Cloud Data Engineer certification in AWS, Azure or GCP
- Bachelor's Degree
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