What will you do:

• Work closely with team members and stakeholders to turn business problems into analytical projects, translated requirements, and solutions

• Work cross-functionally with teams on data migration, translation, and organizational initiatives

• Translate large volumes of raw, unstructured data into highly visual and easily digestible formats

• Develop and manage data pipelines for predictive analytics modeling, model lifecycle management, and deployment (Extract-Load-Transform, ELT)

• Recommend ways to improve data reliability, efficiency, and quality

• Help create, maintain, and implement tools, libraries, and systems to increase the efficiency and scalability of the team

• Develop and maintain proper controls and governance for data access

• Communicate data-related challenges and help to prioritize resolutions based on alignment with organizational goals

• Consult and assist consumers of XE managed data

What will you bring:

• Ability to critically analyze data, testing hypothesis, and validating data quality

• Ability to problem solve and to test and implement new technologies and tools

• Solid grasp of data systems and how they interact with each other

• Exceptional analytical skills to detect the source and resolution of highly complex problems

• Proficient Python programming skills are required and experience with Python-based analysis frameworks such as pandas, pyspark and pyarrow a plus

• Experience with Starburst, Snowflake and other Cloud Data Warehousing / Data Lake preferred

• Excellent data manipulation skills required, namely using SQL and the Python Scientific stack (pandas, numpy, sci-kit learn)

• Experience extracting unstructured data from REST APIs, NoSQL databases, and object storage (Ceph/S3)

• Experience with Linux system administration, shell scripting, and virtualization technology (containers) is required

• Mastery of git (version control) and experience with versioning, merge request, review, etc. processes and techniques is required

• Experience with distributed computing frameworks (eg., dask, pyspark) preferred

• OpenShift application development and administration is a plus

• Experience deploying applications using PaaS technologies (e.g,. OpenShift, Airflow) is a plus

• Well-versed and a desire to stay on top of the current industry landscape of computer software, programming languages, and technology

• Bachelor's degree in a related field (e.g., Computer Science or Software Engineering) with 5+ years of relevant working experience or Masters degree with 3+ years of working experience

About Red Hat

Red Hat is the world’s leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.

Diversity, Equity & Inclusion at Red Hat
Red Hat’s culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from diverse backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions of diversity that compose our global village.

Equal Opportunity Policy (EEO)
Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.

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