Engineer 3, Data Engineering - 9190

Make your mark at Comcast -- a Fortune 30 global media and technology company. From the connectivity and platforms we provide, to the content and experiences we create, we reach hundreds of millions of customers, viewers, and guests worldwide. Become part of our award-winning technology team that turns big ideas into cutting-edge products, platforms, and solutions that our customers love. We create space to innovate, and we recognize, reward, and invest in your ideas, while ensuring you can proudly bring your authentic self to the workplace. Join us. You’ll do the best work of your career right here at Comcast. (In most cases, Comcast prefers to have employees on-site collaborating unless the team has been designated as virtual due to the nature of their work. If a position is listed with both office locations and virtual offerings, Comcast may be willing to consider candidates who live greater than 100 miles from the office for the remote option.)

Job Summary

Job Description

DUTIES: Design and develop new software and web applications using Scala; use AWS services including S3, Athena, Glue and Identity Access Management (IAM); work with Apache Spark and PySpark; develop data pipelines within Databricks; use SQL to conduct data analysis and ensure quality; use Github; use Big Data Storage Systems, including Hadoop Distributed File System (HDFS) and Amazon S3, and best practices, including data partitioning and sharding, replication and redundancy, compression and data encoding, data lifecycle management, and security and access control; use Python; support applications under development and customize current applications; assist with the software update process for existing applications, and roll-outs of software releases; analyze, test, and assist with the integration of new applications; document all development activity; research, write, and edit documentation and technical requirements, including software designs, evaluation plans, test results, technical manuals, and formal recommendations and reports; monitor and evaluate competitive applications and products; review literature, patents, and current practices relevant to the solution of assigned projects; collaborate with project stakeholders to identify product and technical requirements; conduct analysis to determine integration needs; work with the Quality Assurance team to determine if applications fit specification and technical requirements. Position is eligible for 100% remote work.

REQUIREMENTS: Bachelor’s degree, or foreign equivalent, in Computer Science, Engineering, or related technical field, and two (2) years of experience developing software using Scala; using AWS services including S3, Athena, Glue and Identity Access Management (IAM); working with Apache Spark and PySpark; and developing data pipelines within Databricks; of which one (1) year of experience includes using SQL to conduct data analysis and ensure quality; using Github; using Big Data Storage Systems, including Hadoop Distributed File System (HDFS); and using Python.

Skills

Amazon Web Services (AWS), Apache Spark, Data Pipelines, Hadoop Distributed File System (HDFS), Scala (Programming Language)

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