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The Red Hat Global Finance Analytics team is looking for a Data Engineer to help guide advanced analytics into production enterprise systems to join us in Raleigh, NC. In this role, you will join a global team of high performing data engineers and data scientists. You'll need to have solid technical skills and business acumen to help us build the next generation of data-driven decision making at Red Hat. You will be responsible for partnering closely with the Data Science team to build data pipelines for analytics assets and machine learning workloads. You'll also work closely with IT to productionalize these new sets of analytics capabilities into enterprise systems. As a Data Engineer, you will work cross-functionally with data scientists, developers, and business stakeholders, which will give you the opportunity to sharpen the application of your technical skills while working to develop your business savviness.
Primary job responsibilities
Work closely with stakeholders to turn business problems into analytical projects, translated requirements, and solutions
Work cross-functionally with teams on data migration, translation, and organization initiatives
Develop data processes for data workflow into production environments
Translate large volumes of raw, unstructured data into highly visual and easily digestible formats
Recommend ways to improve data reliability, efficiency, and quality
Help support the team's analytical environments and reporting tools
Help create, maintain, and implement tools, libraries, and systems to increase the efficiency and scalability of the team
Advanced degree in computer science, software engineering, or a quantitative field
3+ years of relevant work experience
Experience with software or technology companies
Solid initiative and ability to manage multiple projects
Solid relationship management and persuasion skills
Excellent problem-solving skills
Motivated with sense of personal accountability
Ability to work well within a team and willingness to learn new things and be coached
Excellent written and verbal communication skills
Excellent programming skills in SQL and Python
Significant experience using automation tools like Apache Airflow and Luigi
Significant experience using big data technologies like Apache Hadoop, Apache Hive, and Apache Spark
Basic experience with Linux
Basic understanding of Salesforce.com (SFDC) and reporting in it
Experience in relational database systems like SQL Server, Amazon Redshift, Oracle, BigQuery, etc.
Basic experience with Platform-as-a-Service (PaaS)
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