Data Engineer II , GTMO DATA
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Job Location:
Seattle, OR - USA
Monthly Salary:
Not Disclosed
Posted on:
22 hours ago
Vacancies:
1 Vacancy
Department:
Job Summary
Over the past 20 years Amazon has reinvented on behalf of the consumer and has become one of the largest internet retailers in the world. Amazon is now reinventing on behalf of the business customer and is building the most innovative Business-to-Business (B2B) online store in the world.
Amazon Business Team is looking for a Data Engineer (DE) to play a significant role in building a large-scale high-volume high-performance data integration and delivery services. These data solutions would be used in reporting and to drive business decision making while dealing efficiently with the massive scale of data available through our Data Warehouse as well as our software systems. You will be responsible for designing and implementing solutions using third-party and in-house reporting tools modelling metadata building reports and dashboards integrating data across disparate & distributed systems and administering the platform software. You are expected to analyze challenging Business Problems and build efficient flexible extensible and scalable data models ETL designs and data integration services. You will also have an opportunity to build/maintain/enhance small to mid-size custom built Applications using Python/Java. You are required to support and manage growth of these data solutions. You must be a self-starter and be able to learn on the go. Excellent written and verbal communication skills are required as you will work very closely with diverse teams.
Key job responsibilities
As a Data Engineer in Amazon Business team you will be working in one of the worlds largest cloud-based data lakes. You should be skilled in the architecture of Enterprise data warehouse solutions using multiple platforms (EMR RDBMS Columnar Cloud). You should have extensive experience in the design creation management and business use of extremely large datasets. You should have excellent business and communication skills to be able to work with business owners to develop and define key business questions and to build data sets that answer those questions. Above all you should be passionate about working with huge data sets and someone who loves to bring datasets together to answer business questions and drive change.
- 3 years of data engineering experience
- 3 years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience
- 1 years of developing and operating large-scale data structures for business intelligence analytics using OLAP technologies experience
- 1 years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience
- 3 years of developing and operating large-scale data structures for business intelligence analytics using SQL experience
- 1 years of developing and operating large-scale data structures for business intelligence analytics using Oracle experience
- Experience with data modeling warehousing and building ETL pipelines
- 3 years of SQL experience
- Experience with big data technologies such as: Hadoop Hive Spark EMR
- 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)
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at WA Seattle - 132100.00 - 178800.00 USD annually
Required Experience:
IC
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
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