Data Engineer, Speed Products, Science and Analytics
Bellevue, Washington
As a Data Engineer, you will be working in one of the world's largest and most complex data warehouse environments. You will design, implement and support scalable data infrastructure solutions to integrate with multi heterogeneous data sources, aggregate and retrieve data in a fast and safe mode, curate data that can be used in reporting, analysis, machine learning models and ad-hoc data requests. You will be managing multiple Redshift clusters that support reporting needs for the transportation org. You will be exposed to cutting edge AWS big data technologies. You should have excellent business and communication skills to be able to work with business owners and Tech leaders to gather infrastructure requirements, design data infrastructure, build up data pipelines and data-sets to meet business needs. You stay abreast of emerging technologies, investigating and implementing where appropriate.
Key job responsibilities
- Design and develop the pipelines required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Python and AWS big data technologies.
- Oversee and continually improve production operations, including optimizing data delivery, re-designing infrastructure for greater scalability, code deployments, bug fixes and overall release management and coordination.
- Establish and maintain best practices for the design, development and support of data integration solutions, including documentation.
- Work closely with Product teams, Data Scientists, Software developers and Business Intelligence Engineer to explore new data sources and deliver the data.
- Able to read, write, and debug data processing and orchestration code written Python/Scala etc following best coding standards (e.g. version controlled, code reviewed, etc.)
We are open to hiring candidates to work out of one of the following locations:
Bellevue, WA, USA
BASIC QUALIFICATIONS
- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
PREFERRED QUALIFICATIONS
- 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 committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $105,700/year in our lowest geographic market up to $205,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
Key job responsibilities
- Design and develop the pipelines required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Python and AWS big data technologies.
- Oversee and continually improve production operations, including optimizing data delivery, re-designing infrastructure for greater scalability, code deployments, bug fixes and overall release management and coordination.
- Establish and maintain best practices for the design, development and support of data integration solutions, including documentation.
- Work closely with Product teams, Data Scientists, Software developers and Business Intelligence Engineer to explore new data sources and deliver the data.
- Able to read, write, and debug data processing and orchestration code written Python/Scala etc following best coding standards (e.g. version controlled, code reviewed, etc.)
We are open to hiring candidates to work out of one of the following locations:
Bellevue, WA, USA
BASIC QUALIFICATIONS
- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
PREFERRED QUALIFICATIONS
- 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 committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $105,700/year in our lowest geographic market up to $205,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
Created: 2024-05-19
Reference: 2575216
Country: United States
State: Washington
City: Bellevue
ZIP: 98004
About Amazon
Founded in: 1994
Number of Employees: 1600000
Website: https://www.amazon.com/
Career site: https://www.amazon.jobs/en/
Instagram: https://www.instagram.com/amazon/
LinkedIn: https://www.linkedin.com/company/amazon/
Facebook: https://www.facebook.com/Amazon
Similar jobs:
-
Senior BIE, Speed Analytics, Speed Products, Science and Analytics
Amazon in Bellevue, Washington💸 $104300 per year -
Executive Assistant, Logging, Analytics, and AIOps team
Amazon in Seattle, Washington💸 $59400 per year -
Sr. Analytics Program Manager, Middle Mile Supply and Routing Optimization
Amazon in Bellevue, Washington💸 $92500 per year -
Sr. Analytics Program Manager, Middle Mile Supply and Routing Optimization
Amazon in Bellevue, Washington💸 $92500 per year -
Senior Supply Chain Manager, Air Network Planning \u0026 Strategy , Air Supply Chain and Analytics
Amazon in Bellevue, Washington💸 $92300 per year -
Senior Program Manager, Air Strategic Initiatives, AIR Supply Chain and Analytics
Amazon in Bellevue, Washington💸 $92500 per year -
Information Security Data and Analytics Analyst
Fisher Investments in Camas, Washington💸 $120000 - $170000 per year -
Security Engineer, GuardDuty Security Analytics and AI Research
Amazon in Seattle, Washington💸 $135500 per year -
Senior Business Analyst, Selling Partner Insights and Analytics
Amazon in Seattle, Washington💸 $94600 per year -
Applied Scientist, D2 Science and Analytics
Amazon in Seattle, Washington💸 $136000 per year -
Senior Supply Chain Manager, Air Network Planning \u0026 Strategy , Air Supply Chain and Analytics
Amazon in Bellevue, Washington💸 $92300 per year -
Business Analyst, Selling Partner Insights and Analytics
Amazon in Seattle, Washington💸 $59500 per year -
Fleet Analyst, Amazon Transportation Services, Fleet Performance and Analytics
Amazon in Bellevue, Washington💸 $34500 per year -
Director - Business Analytics and Intelligence
Sogeti in Seattle, Washington -
Software Engineer III - ML, Analytics and Data Management (ADM)
Amazon in Seattle, Washington💸 $134500 per year -
GDSP Finance Manager- AWS , GDSP Finance Reporting and Analytics
Amazon in Seattle, Washington💸 $81100 per year -
Sr. Analytics Program Manager, Middle Mile Supply and Routing Optimization
Amazon in Bellevue, Washington💸 $92500 per year -
Senior UX Designer, Seller Analytics and Growth
Amazon in Seattle, Washington💸 $127100 per year -
Business Intelligence Engineer I, CE\u0026I Analytics and Products
Amazon in Seattle, Washington💸 $65800 per year -
Senior Applied Scientist - Conversational Agent, Analytics and Data Management
Amazon in Seattle, Washington💸 $136000 per year