Responsible for the maintenance, improvement, cleaning, and manipulation of data in the business s customer data platform and analytics databases. Works with the business s data analytics teams, data scientists, and software engineers in order to understand and aid in the implementation of database requirements, analyze performance, and troubleshoot any issues. Defines and builds the ETL and data pipelines to enable faster, better, data-informed decision-making within the business.
BS in Computer Science or equivalent education/professional experience is required.
5+ years in a data-engineering role with demonstrable experience with data integration and data warehouse projects.
Experience architecting and building data warehouses, customer profile databases, data marts, etc.
Knowledge of Apache Beam and programming languages including Java and Python.
Experience with MPP systems (Google Big Query, AWS Redshift, Azure Datawarehouse).
Experience with data modeling, warehouse design, and fact/dimension concepts.
Experience working with different query languages (i.e. T-SQL, PostgreSQL, PL-SQL).
Experience in data integration projects and automation via ETL Tools (i.e. Talend, Informatica, SSIS, etc.).
Experience in Hadoop (Hive, Spark, Impala, etc.) ecosystem is a plus.
Experience working with code repositories and continuous integration (i.e. Git, Jenkins, etc.)
- provided by Dice Associated topics: data analyst, data integration, data integrity, data manager, data warehousing, database administrator, erp, hbase, mongo database, sql
* The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.