c*r
2 楼
Amazon.com is seeking an outstanding Data Engineer to join the Long-term
Forecasting and Planning Team. We develop statistic models that involve
learning from large amounts of historical data and identifying key drivers
to the long-term growth trends in order to predict the company's growth
profile for the next N years. This forecast is used to make strategic
decisions and investments over customer facing programs, fulfillment center
expansions and other fixed and variable costs initiatives. The work is
complex and important to Amazon. The better our forecasts, the more we can
lower prices for customers and offer optimal delivery experience.
You will have an opportunity to work in one of the world's largest and most
complex data warehouse environments and help build data acquisition pipeline
that powers the forecasting models. In addition, you will be responsible
for developing customer facing metrics that will be used by internal retail,
finance and operational users to understand the forecast accuracy as well
as view different slices of the data. Our systems also supports planning
scenarios by consuming different inputs and refresh the growth forecast, so
you will need to develop proper control of the data to allow for versioning
management, tracking against actuals and gap analysis.
You will be responsible for designing and implementing an analytical
environment using third-party and in-house reporting tools, modeling
metadata, building reports and dashboards in Tableau. You will also work
with business customers in understanding the business requirements and
implementing solutions to support analytical and reporting needs.
You will have an opportunity to work with leading edge technologies like
Redshift, Hadoop/Hive/Pig.
1. Basic Qualifications
• 5+ years of working with large data sets and analyzing data to
identify patterns/correlations.
• 5+ years of SQL, Oracle database, data warehousing experience
• 5+ years of BI reporting tool experience. Tableau and Excel is
preferred
2. Preferred Qualifications
• Hands-on experience with Tableau, should have set up
infrastructure, worked on the repository and developed complex frontend
reports.
• Strong customer focus, ownership, urgency and drive.
• Excellent communication skills and the ability to work well in a
team.
• Highly analytical, troubleshooting and problem-solving skills.
• Familiarity with Hadoop framework, Hive and Redshift.
• Familiarity with common statistical methods and tools.
Forecasting and Planning Team. We develop statistic models that involve
learning from large amounts of historical data and identifying key drivers
to the long-term growth trends in order to predict the company's growth
profile for the next N years. This forecast is used to make strategic
decisions and investments over customer facing programs, fulfillment center
expansions and other fixed and variable costs initiatives. The work is
complex and important to Amazon. The better our forecasts, the more we can
lower prices for customers and offer optimal delivery experience.
You will have an opportunity to work in one of the world's largest and most
complex data warehouse environments and help build data acquisition pipeline
that powers the forecasting models. In addition, you will be responsible
for developing customer facing metrics that will be used by internal retail,
finance and operational users to understand the forecast accuracy as well
as view different slices of the data. Our systems also supports planning
scenarios by consuming different inputs and refresh the growth forecast, so
you will need to develop proper control of the data to allow for versioning
management, tracking against actuals and gap analysis.
You will be responsible for designing and implementing an analytical
environment using third-party and in-house reporting tools, modeling
metadata, building reports and dashboards in Tableau. You will also work
with business customers in understanding the business requirements and
implementing solutions to support analytical and reporting needs.
You will have an opportunity to work with leading edge technologies like
Redshift, Hadoop/Hive/Pig.
1. Basic Qualifications
• 5+ years of working with large data sets and analyzing data to
identify patterns/correlations.
• 5+ years of SQL, Oracle database, data warehousing experience
• 5+ years of BI reporting tool experience. Tableau and Excel is
preferred
2. Preferred Qualifications
• Hands-on experience with Tableau, should have set up
infrastructure, worked on the repository and developed complex frontend
reports.
• Strong customer focus, ownership, urgency and drive.
• Excellent communication skills and the ability to work well in a
team.
• Highly analytical, troubleshooting and problem-solving skills.
• Familiarity with Hadoop framework, Hive and Redshift.
• Familiarity with common statistical methods and tools.
c*r
3 楼
If you are interested, please send resume to [email protected]
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Thanks!
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Thanks!
A*r
4 楼
这个，就是个DBA嘛
v*0
5 楼
亚马逊
center
most
【在 c****r 的大作中提到】
: Amazon.com is seeking an outstanding Data Engineer to join the Long-term
: Forecasting and Planning Team. We develop statistic models that involve
: learning from large amounts of historical data and identifying key drivers
: to the long-term growth trends in order to predict the company's growth
: profile for the next N years. This forecast is used to make strategic
: decisions and investments over customer facing programs, fulfillment center
: expansions and other fixed and variable costs initiatives. The work is
: complex and important to Amazon. The better our forecasts, the more we can
: lower prices for customers and offer optimal delivery experience.
: You will have an opportunity to work in one of the world's largest and most
center
most
【在 c****r 的大作中提到】
: Amazon.com is seeking an outstanding Data Engineer to join the Long-term
: Forecasting and Planning Team. We develop statistic models that involve
: learning from large amounts of historical data and identifying key drivers
: to the long-term growth trends in order to predict the company's growth
: profile for the next N years. This forecast is used to make strategic
: decisions and investments over customer facing programs, fulfillment center
: expansions and other fixed and variable costs initiatives. The work is
: complex and important to Amazon. The better our forecasts, the more we can
: lower prices for customers and offer optimal delivery experience.
: You will have an opportunity to work in one of the world's largest and most
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