アマゾンウェブサービスジャパン合同会社のData Engineer - Global Accounts, Professional Services, AWSI-SDT-APJ-Japan, AWSI-SDT-APJ-Japan求人

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. You’ll 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 migrating existing systems and building new systems 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 spans across multiple domains such as cloud infrastructure, modern microservicesand applications, enterprise application migrations, HPC amongst many others.#aws-jp-proserv-ap#AWSJapanA day in the lifeAbout AWSDiverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWS?Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team CultureAWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.Mentorship & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.

基本条件- 5+ years of experience with data modeling, data warehousing, and building ETL pipelines- 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

歓迎条件- 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.- 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.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.