About the Role
We are seeking a Senior Data Engineer to join our Global Accounts, Professional Services team at AWS. This role will focus on collaborating with customers and partners to develop technical expertise and capacity in data platforms using AWS services.
As a Senior Data Engineer, you will work closely with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Amazon Elastic Compute Cloud (EC2), S3, AWS Glue, DynamoDB NoSQL, Relational Database Service (RDS), Elastic Map Reduce (EMR) and Amazon Redshift.
Main Responsibilities
* Expertise: Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services.
* Solutions: Deliver on-site technical engagements with partners and customers, including participating in pre-sales on-site visits, understanding customer requirements, creating consulting proposals and creating packaged Big Data service offerings.
* Delivery: Engagements include short on-site projects proving the use of AWS services to support new distributed computing solutions that often span private cloud and public cloud services, as well as migration of existing applications and development of new applications using AWS cloud services.
Requirements
* Bachelor's degree in Computer Science, Engineering, Math, or related discipline.
* 7+ years of experience with data modeling, data warehousing, and building ETL pipelines.
* 10+ years of leadership experience in a technical, customer-facing role in the technology industry.
* Experience in working with data lakes, modern data architectures, Lambda type architectures.
* Proficiency in writing and optimizing SQL.
* Knowledge of AWS services including S3, Redshift, EMR, Kinesis and RDS.
* Experience with Open Source Data Technologies (Hadoop, Hive, Hbase, Pig, Spark, etc.).
* Ability to write code in Python, Ruby, Scala or other platform-related Big data technology.
* Strong verbal and written communication skills with stakeholders (Japanese language preferred along with English as second language).
Preferred Qualifications
* Industry experience as a Data Engineer or related specialty (e.g., Software Engineer, Business Intelligence Engineer, Data Scientist) with a track record of manipulating, processing, and extracting value from large datasets.
* Coding proficiency in at least one modern programming language (Python, Ruby, Java, etc).
* Experience building data products incrementally and integrating and managing datasets from multiple sources.
* Query performance tuning skills using Unix profiling tools and SQL.
* Experience leading large-scale data warehousing and analytics projects, including using AWS technologies – Redshift, S3, EC2, Data-pipeline and other big data technologies.
* Linux/UNIX including to process large data sets.