Amazon Data Engineer GENIE Alexa Proactive - ML Engineering MLE 

Canada, Ontario, Old Toronto 

719783167

Key job responsibilities
Key job responsibilities:
• Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using AWS services and internal BDT tools
• Implement data structures using best practices in data modeling, ETL/ELT processes, and SQL, Redshift, and OLAP technologies to support research needs
• Interface with researchers and business stakeholders, gathering requirements and support ad-hoc data access to large data sets
• Build and deliver high quality data sets to support applied scientists and customer reporting needs
• Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers
• Become a subject matter expert on Alexa and Amazon data sources relevant to Alexa Proactive use cases, and assist stakeholders with understanding and visualizing data
• Educate the team on best practices for upholding data security and data privacy standards
• Knowledge/Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
• Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)

- 1+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
- Experience with one or more scripting language (e.g., Python, KornShell)

- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.