Data Engineer - Global Accounts, Professional Services, AWSI-SDT-APJ-JapanJob ID: | Amazon Web Services Japan GK
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, we're 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 enable customers to be a data-first organization.
Key Job ResponsibilitiesExpertise:
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.
BASIC QUALIFICATIONSBachelor's degree in Computer Science, Engineering, Math, or related discipline.5+ years of experience with data modeling, data warehousing, and building ETL pipelines.5+ 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.
PREFERRED QUALIFICATIONSStrong 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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