Alpharetta, GA17 days ago
from Business Finance & IT teams to devise an optimal path to enable them; Build complex queries and Python scripts to aid in transfer of data sources into the Enterprise Data Warehouse; Build reports providing insights to business using data visualization tools; Source, refine, and map data from different sources into a centralized canonical format applying data governance principles; Document functional & nonfunctional requirements through data mapping documentation, confluence documentation, or external tools. 60 mo exp w at least 12 mo exp in: SQL, Python, R, Shell Scripting, Tableau, Power BI, Google Analytics, SQL server analysis services (SSAS), SQL server Integration services (SSIS) Kafka, SAS Enterprise Studio, Docker, Kubernetes, Azure SQL DB, Core Java Technologies, Talend AWS 33, EMR, AWS Stack, IAM, AWS- Redshift, MS SQL Services Oracle Database Cloud Services MongoDB, Neo4j Graph Database, GIT, Windows, and/or Linux.