Audible is looking to enhance its existing data platform and global data ecosystem to support data-driven initiatives. This involves improving data integration, data modeling, ETL processes, and implementing flexible data solutions with a focus on data quality and data warehousing best practices.
Requirements
- 3+ years of experience in a Data Warehouse (DWH) environment
- Experience with Data integration/ETL of large and complex data sets
- Proficiency in SQL and database technologies such as AWS Redshift
- Expertise in performance tuning and scaling in a DWH environment
- Data modeling skills such as Star/Snowflake schema design for DWH
- Knowledge of scripting for automation (e.g. Python)
- Experience with Agile Scrum
Responsibilities
- Enhancement of our existing data platform
- Collaborate with various elements of our global data ecosystem
- Data integration
- Data modeling
- Execution of ETL (Extract, Transform, Load) processes
- Implementation of flexible data solutions
- Design, development, troubleshooting, debugging, evaluation, support, and enhancement of data engineering solutions
Other
- Collaborate closely with Global Analytics business stakeholders
- Collaborate closely with cross-functional teams
- Interpersonal and communication skills
- Ability to work with different teams for sourcing of data
- Effective analytical, troubleshooting and problem-solving skills
- Ability to learn fast, work independently with little supervision and deliver on time quality products
- Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
