Job Location: Chicago, IL
JOB DESCRIPTION
• Bachelor’s degree in STEM Field (computer science, engineering, business analytics, information systems, or related degree)
• 8+ years of total IT experience as either a Product Owner/Business Data Analyst or as a Software Engineer
• 5+ years of overall Data Engineering experience in either AWS or Azure Cloud environments
• 3+ years of experience with Big Data technologies like PySpark, Hadoop, Hive, HBASE, Kafka, Redshift, Cassandra etc.
• 5+ years of experience with relational database systems like MS SQL Server, Oracle, Teradata
• Strong experience with continuous integration & delivery using Agile methodologies
• Strong analytical & problem-solving skills
MINIMUM REQUIREMENTS
ï‚§ Collaborate with key stakeholders to identify the business case/value, work on defining product scope and feature prioritization
ï‚§ Manage product backlog, technical debt and create delivery roadmap
ï‚§ Create user stories, non-functional requirements and follow agile best practices
ï‚§ Perform data analysis, workflow analysis, create current/future state data flow diagrams and help the team assess the business impact of any changes or enhancements
ï‚§ Works with the development, architecture, governance, and program management teams to deliver a highly scalable and reliable digital data asset
ï‚§ Ability to manage multiple deliverables both short and long-term in a busy and aggressive environment
ï‚§ Should have excellent communication and analytical skills
DESIRED SKILLS
- Python
- Java or C++ coding background
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