Job
Description
Responsibilities Develop, operate, optimize, test, and maintain the businesss data warehouse, as well as develop ETL processes, cube development for database and performance administration, and dimensional designing of table structures Drive the full life-cycle of back-end development of the businesss data warehouse, as well as develop ETL processes, cube development for database and performance administration, and dimensional designing of table structures Identify, design, and implement internal process improvements, including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes Define data retention policies Build analytical tools to utilize the data pipeline, providing actionable insights into key business performance metrics, including operational efficiency and customer acquisition Choose and integrate tools for monitoring, managing, alerting, and improving customer database performance Develop and implement automated processes that ensure uninterrupted updating and correction of database vulnerabilities Assemble large, complex sets of data that meet non-functional and functional business requirements Requirements 5+ years of experience or over 5 completed projects Knowledge of data management fundamentals (data modeling, ELT/ETL, data quality, metadata management, data warehouse/lakes patterns, distributed systems) AWS/Azure cloud Snowflake and Databricks are must-haves Strong proficiency with SQL and its variations among popular databases Experience with some modern relational databases Knowledge of the programming language Python
