Snr Data Engineer - Global Accounts, Professional Services, AWSI-SDT-APJ-Japan

AWS Global Services includes experts from across AWS who help our customers design build operate and secure their cloud environments. Customers innovate with AWS Professional Services upskill with AWS Training and Certification optimize with AWS Support and Managed Services and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners AWS Sovereign Cloud AWS International Product and the Generative AI Innovation Center. Youll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud.

Our AWS Professional Services consultants deliver IT infrastructure and application architecture guidance lead proof-of-concept projects perform enterprise portfolio assessments review operational best practices and conduct skills transfer workshops. AWS consultants collaborate with customers and partners to address security and compliance performance and scale availability and manageability. They advise customers on data platforms using the full range of AWS services. They also assist with the non-technical change management work on policies processes and
people changes.

At AWS were looking for technical architects to collaborate with our customers and partners on key engagements while helping our partners to develop technical expertise and capacity. The individual requires a strong combination of technical experience hands-on keyboard capacity technical leadership experience and ability to learn fast in a fast paced environment. They will focus on customer solutions that enables customers to be a data-first organization.


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Key job responsibilities
Expertise - Collaborate 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.

Solutions - Deliver on-site technical engagements with partners and customers. This includes 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. Engagements will include migration of existing applications and development of new applications using AWS cloud services.

About the team
About AWS

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- Bachelors 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
- Knowledge of professional software engineering practices & best practices for the full software development lifecycle including coding standards code reviews source control management build processes testing and operations
- Strong verbal and written communication skills with stakeholders (Japanese language preferred along with English as second language)

- 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.

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