Enterprise Architecture: Knowledge of enterprise architecture principles, including business architecture, information architecture, and technology architecture.
Proven track record of delivering at least two large-scale enterprise data platform migrations or greenfield builds.
Minimum of 15 years in IT, with at least 4 years in a Solution Architect or Lead Data Engineer role.
Programming: Advanced coding skills in Python, or Java, along with expert-level SQL.
Containerization: Experience with Docker and Kubernetes for deploying data services.
Data Processing: Strong proficiency in batch and stream processing.
Database Systems: Extensive experience managing and querying various systems: Relational: PostgreSQL, MySQL, SQL Server, NoSQL/NewSQL: MongoDB, Cassandra, Warehousing/Lakehouses: Snowflake, Databricks, BigQuery.
Bachelor's or Master's degree in Computer Science, Computer Engineering, Information Systems, or a related field.
Cloud Infrastructure: Expert-level experience with at least one major cloud provider (AWS, Azure, or GCP) and their native data services.

Analyst -Analytics

ProcDNA

Chicago, IL 60290

Business Analyst 3 [209087]

Aquent Talent

Chicago, IL

Minimum 5–7 years' experience with process analysis and stakeholder translation, including as-is/to-be process mapping and translating business needs into operational requirements to support decision-making.
Minimum 5–7 years' experience with data analysis and reporting, including Excel, SQL, Power BI, trend analysis, gap analysis, and translating data into business insights.
Bachelor's degree in business management, economics, finance, accounting or relevant field required.
Minimum 5–7 years' experience with requirements elicitation and documentation, including business requirements, functional/non-functional requirements, user stories, and process flows.
5-7 years' experience required.