Job Description

What you will 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

Manage data pipelines for predictive analytics modeling, model lifecycle management, and deployment

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 to organizational goals

#LI-LR1

What you will 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 a plus

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

Red Hat