Apache Hadoop, Best Practices, Cloud Computing, Data Management, Data Modeling, Data Quality, Database Design, Database Extract Transform and Load (ETL), Documentation, GCP (Good Clinical Practices), Information/Data Security (InfoSec), Microsoft Product Family, Microsoft Windows Azure, NoSQL, Problem Solving Skills, Python Programming/Scripting Language, Relational Databases (RDBMS), SQL (Structured Query Language), Software Engineering
Location: Onsite 5x/wk Cincinnati, OH
Duration: 10 Months
Role Summary:
6 years experience
-Hands-on experience with Databricks and core data engineering tools (SQL, Python, Spark; Hadoop familiarity acceptable)
-Experience designing and building data pipelines and ETL/ELT processes
-Experience with cloud data platforms (e.g., Azure; GCP exposure helpful)
-Working knowledge of data modeling, data architecture, and database design (relational and NoSQL)
-Knowledge of data governance, data quality, and security best practices
-Experience with workflow orchestration tools (e.g., Airflow, Luigi)
-Familiarity with organizing data using Medallion Pattern and understanding centralization vs. decentralization approaches (including Data Mesh principles)
-Strong problem-solving, communication, and documentation skills
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