Big Data Engineer

4 weeks ago


Beaverton, Oregon, United States TEPHRA Full time
Job Summary

As a Hadoop Developer at TEPHRA, you will be responsible for designing and implementing distributed data processing pipelines using Spark, Hive, SQL, and other tools and languages prevalent in the Hadoop ecosystem. You will work to build aggregates and curate data sets needed to solve BI reporting needs, design and implement end-to-end solutions, and build utilities, user-defined functions, and frameworks to better enable data flow patterns. Additionally, you will research, evaluate, and utilize new technologies/tools/frameworks centered around Hadoop and other elements in the Big Data space. You will work with teams to resolve operational and performance issues, ensuring quality solutions are implemented and engineering best practices are defined and adhered to. You will also work in an Agile team structure, coordinate with offshore teams for project-related work, and act as a technical lead for onsite teams.

Responsibilities

* Strong development skills around Hadoop, Spark, Airflow, and Hive
* Strong SQL, Python, shell scripting, and Python skills
* Strong understanding of Hadoop internals
* Experience (at least familiarity) with data warehousing, dimensional modeling, and ETL development
* Experience with AWS components and services, particularly, EMR, S3
* Awareness of DevOps tools
* Working experience in Agile framework
* Bachelor Degree and above
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