Description
Key Skills: Python, Scala, Java, SQL, Redshift, EMR, Hadoop, Hive, AWS, ETL
Good to Have Skills: Experience with Pig, AWS Bedrock, Sagemaker, S3, Athena, Kinesis, Lambda, Data Lake, business intelligence tools, data modeling, metadata management, dashboard development, and data presentation tools. Knowledge of scalable analytical solutions and experience working with terabytes of structured and unstructured data.
Roles & Responsibilities:
- Work with the product and development teams within Alexa org to understand the product vision and requirements.
- Work with Product Managers, BI engineers and Software Engineers to design, implement and support high quality data products.
- Partner with other teams across Alexa to ingest relevant datasets into the Alexa Devices BI data-warehouse.
- Collaborate with other data engineers within the team to build a data platform that is self-service and possesses key capabilities like data discovery, data lineage, proactive data monitoring and security compliance monitoring.
- Leverage and manage AWS services like Bedrock, Sagemaker, S3, Redshift, Athena, Kinesis, Lambda, Data Lake and other cloud services.
- Conduct workshops and lunch-n-learn sessions to educate customers on product capabilities and drive adoption of data driven decision making.
- Design and implement an analytical environment using third-party and in-house tools for automation of analytics and data quality platform.
- Design and implement complex data models, model metadata, build reports and dashboards for end users of data products.
- Write scalable, highly tuned SQL queries running over billions of rows of data in large warehouse environments.
- Develop efficient and scalable solutions to replicate data from production systems into the BI data store