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Data Engineer

Company: Qual IT Resources
Location: Cincinnati
Posted on: January 16, 2022

Job Description:

Member of a data engineering team tasked with building automated pipelines and transforming data from source to consumable data elements for data/decision science teams. This member will work with data from our core enterprise data warehouse, datasets built by data/decision science squads, third party data applications to help provide data in a consumable way for our data/decision scientist to build new and execute through data models for predictive analytics. The data would be pushed/pulled from various systems, tools, and output and exposed/embedded into multiple downstream deliverables within the bank. They will pair with other squad members for cross-functional collaborations and learnings as well as work independently in areas of expertise. They work in an agile environment and utilize both contemporary and modern technologies to solve challenging business problems. As an engineer they own the "how" to solve problems presented from the business using the tools and technologies at their disposal. The data they work with is data around how customers interact with the bank through in-person and digital experiences.

Required:
1. Strong SQL skills
2. Experience with NiFi
3. Experience with at least 1 RDBMS
4. Experience building ETL Pipelines
5. Experience building analytic use-cases
6. Basic understanding of cloud technology - AWS/Snowflake
7. Strong quality and testing practices
8. Ability to research and solve problems independently
9. Strong written and verbal communication skills with team and stakeholders

Nice to have:
1. Financial industry knowledge / prior work experience in the finance industry
2. Experience with virtualization (Denodo preferred)
3. Experience with SAS
4. Experience with data management tools (Alation)

Keywords: Qual IT Resources, Cincinnati , Data Engineer, Engineering , Cincinnati, Ohio

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