Data Engineer, PXT DAaS
Job summaryLove data as much as we do? Want to influence at Amazon? We have the career for you.
The Amazonian Experience and Tech team is seeking an outstanding Data Engineer to join our BI team to build out the data platform with all of the data ingestion mechanisms required for the initiative.
Our platform delivers business intelligence to a diverse, global community of internal customers from one of the world's largest and most complex data sets.
Amazon has culture of data-driven decision-making, and demands business intelligence that is timely, accurate, and actionable.
You will be responsible for designing and implementing data solutions using Amazon cloud technologies.
A successful candidate knows and loves working with business intelligence ETL tools, is comfortable accessing and working with big data from multiple sources, and passionately partners with the business to identify strategic opportunities and deliver results.
You should have an internal drive to answer why? questions, excellent analytical abilities, strong technical skills, as well as superior written and verbal communication skills.
S/he would be a self-starter, comfortable with ambiguity, able to think big (while paying careful attention to detail), and enjoy working in a fast-paced dynamic environment.
Key job responsibilitiesBuild robust and scalable data integration (ETL) pipelines using SQL, EMR, Python and Spark.
Build and deliver high quality data architecture to support business analyst, data scientists, and customer reporting needs.
Interface with other technology teams to extract, transform, and load data from a wide variety of data sources.
Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers.
Design structured, multi-source data mappings to deliver the dashboards and reports that make data actionable.
Drive the collection of new data and the refinement of existing data sources to continually improve data quality and implement business logic using efficient transformations.
Open to candidates in Arlington, Seattle, Dallas, Boston, Toronto.
.
Estimated Salary: $20 to $28 per hour based on qualifications.
The Amazonian Experience and Tech team is seeking an outstanding Data Engineer to join our BI team to build out the data platform with all of the data ingestion mechanisms required for the initiative.
Our platform delivers business intelligence to a diverse, global community of internal customers from one of the world's largest and most complex data sets.
Amazon has culture of data-driven decision-making, and demands business intelligence that is timely, accurate, and actionable.
You will be responsible for designing and implementing data solutions using Amazon cloud technologies.
A successful candidate knows and loves working with business intelligence ETL tools, is comfortable accessing and working with big data from multiple sources, and passionately partners with the business to identify strategic opportunities and deliver results.
You should have an internal drive to answer why? questions, excellent analytical abilities, strong technical skills, as well as superior written and verbal communication skills.
S/he would be a self-starter, comfortable with ambiguity, able to think big (while paying careful attention to detail), and enjoy working in a fast-paced dynamic environment.
Key job responsibilitiesBuild robust and scalable data integration (ETL) pipelines using SQL, EMR, Python and Spark.
Build and deliver high quality data architecture to support business analyst, data scientists, and customer reporting needs.
Interface with other technology teams to extract, transform, and load data from a wide variety of data sources.
Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers.
Design structured, multi-source data mappings to deliver the dashboards and reports that make data actionable.
Drive the collection of new data and the refinement of existing data sources to continually improve data quality and implement business logic using efficient transformations.
Open to candidates in Arlington, Seattle, Dallas, Boston, Toronto.
.
Estimated Salary: $20 to $28 per hour based on qualifications.
|
|
 | |
