Engineer III, Data Engineering (mult.)

Position Summary

Implement complex big data projects with a focus on collecting, parsing, managing, analyzing, and visualizing large sets of data to turn information into actionable deliverables across customer-facing platforms.

Role and Responsibilities

Implement complex big data projects with a focus on collecting, parsing, managing, analyzing, and visualizing large sets of data to turn information into actionable deliverables across customer-facing platforms. Translate complex functional and technical requirements into detailed design. Perform Hadoop technical development and implementation. Load from disparate data sets by leveraging various big data technology, including AWS EMR, S3, Hadoop, hive and pyspark. Pre-process and support queries using Hive, Impala, Spark, Presto and Pig. Design and implement data modeling using hive/presto, Hue and Erwin Data Modeler. Maintain security and data privacy in an environment secured using Kerberos and LDAP.  Perform high-speed queries using in-memory technologies including Spark. Follow and contribute best engineering practice for source control, release management, and deployment. Provide production support, job scheduling and monitoring, ETL data quality, and generate data freshness reporting.

Requirements: Bachelor’s degree in Computer Science, Electronic Engineering, Electrical Engineering, Information Systems Technology, or a related field and 5 years of progressive, post baccalaureate experience as Engineer III, Data Engineering or related occupation in the Big Data software development engineering. Of the 5 years of experience must have included:

Experience in writing complex SQL queries, and high-performance, reliable and maintainable code; Experience with Python development for data analysis and data modeling;  Experience with Hadoop, including Hive, Spark, Impala, Pig, and Oozie; and Experience with AWS/Cloud components, including EC2, S3, and EMR.

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Skills and Qualifications

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