Data Engineer II - AMZ10414442
Amazon Flex
Dallas, Texas
Posted yesterday
40 hours / week, 8:00am-5:00pm
Responsibilities
Primary Duties
- Design, develop, implement, test, document, and operate large-scale, high-volume, high-performance data structures for business intelligence analytics.
- Implement data structures using best practices in data modeling, ETL/ELT processes, SQL, Oracle, and OLAP technologies.
- Provide on-line reporting and analysis using OBIEE business intelligence tools and a logical abstraction layer against large, multi-dimensional datasets and multiple sources.
- Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions that work well within the overall data architecture.
- Analyze source data systems and drive best practices in source teams.
- Participate in the full development life cycle, end-to-end, from design, implementation and testing, to documentation, delivery, support, and maintenance.
- Produce comprehensive, usable dataset documentation and metadata.
- Evaluate and make decisions around dataset implementations designed and proposed by peer data engineers.
- Evaluate and make decisions around the use of new or existing software products and tools.
- Mentor junior data engineers.
Benefits & Perks
Benefits Package
- equity
- sign-on payments
- medical benefits
- financial benefits
Required Skills
Technical Skills
data modelingETL processesELT processesSQLOracleOLAP technologiesOBIEE business intelligence tools
Full Job Description
Data Engineer II
Employer: AMAZON.COM SERVICES LLC
Job Location: Dallas, Texas
Position Responsibilities:
Design, develop, implement, test, document, and operate large-scale, high-volume, high-performance data structures for business intelligence analytics. Implement data structures using best practices in data modeling, ETL/ELT processes, SQL, Oracle, and OLAP technologies. Provide on-line reporting and analysis using OBIEE business intelligence tools and a logical abstraction layer against large, multi-dimensional datasets and multiple sources. Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions that work well within the overall data architecture. Analyze source data systems and drive best practices in source teams. Participate in the full development life cycle, end-to-end, from design, implementation and testing, to documentation, delivery, support, and maintenance. Produce comprehensive, usable dataset documentation and metadata. Evaluate and make decisions around dataset implementations designed and proposed by peer data engineers. Evaluate and make decisions around the use of new or existing software products and tools. Mentor junior data engineers.
Work Schedule: 40 hours / week, 8:00am-5:00pm
Salary Range: $139,352/year to $178,800/year.
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, visit: Amazon Employee Benefits.
Amazon.com is an Equal Opportunity-Affirmative Action Employer Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.
Employer: AMAZON.COM SERVICES LLC
Job Location: Dallas, Texas
Position Responsibilities:
Design, develop, implement, test, document, and operate large-scale, high-volume, high-performance data structures for business intelligence analytics. Implement data structures using best practices in data modeling, ETL/ELT processes, SQL, Oracle, and OLAP technologies. Provide on-line reporting and analysis using OBIEE business intelligence tools and a logical abstraction layer against large, multi-dimensional datasets and multiple sources. Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions that work well within the overall data architecture. Analyze source data systems and drive best practices in source teams. Participate in the full development life cycle, end-to-end, from design, implementation and testing, to documentation, delivery, support, and maintenance. Produce comprehensive, usable dataset documentation and metadata. Evaluate and make decisions around dataset implementations designed and proposed by peer data engineers. Evaluate and make decisions around the use of new or existing software products and tools. Mentor junior data engineers.
Work Schedule: 40 hours / week, 8:00am-5:00pm
Salary Range: $139,352/year to $178,800/year.
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, visit: Amazon Employee Benefits.
Amazon.com is an Equal Opportunity-Affirmative Action Employer Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.
How to Apply
Amazon Flex
About
Amazon Flex, launched in 2015, allows individuals to use their vehicles to deliver Amazon packages. Drivers work flexible hours and are paid per delivery. Fun fact: Amazon Flex was created to enhance ...
$70
/ hour
Amazon Flex pays $70 for Software Engineer in Dallas, Texas, with most salaries ranging from $54 to $94. Pay can vary based on role, experience, and local cost of living.
Median
$70
Low
$54
High
$94
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