Description
Requires a Master’s degree in Computer Science, Engineering, or a related field plus one (1) year of experience as a Software Engineer, Operations Analyst, or a related occupation.
Experience may be gained concurrently and must include one (1) year of developing and operating large-scale data structures for business intelligence analytics using each of the following:
- ETL/ELT processes
- OLAP technologies
- Data modeling
- SQL
- Big data
- Streaming technologies such as Spark, Hive, or Kafka.
Alternatively, will accept a Bachelor’s degree and five (5) years of experience.
Please see job description and the position requirements above.
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.
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Employer: Audible, Inc.
Title: Software Development Engineer II – Data
Location: One Washington Park, Newark, NJ, 07102
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, AWS, and OLAP technologies. Provide a logical abstraction layer against large, multi-dimensional datasets and multiple sources. Gather business and functional requirements and translate requirements into robust, scalable, operable solutions that work well within overall data architecture. Analyze source data systems and drive best practices in source teams. Participate in 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. Position reports into Newark, NJ office; however, telecommuting from a home office may be allowed.
Requirements: Requires a Master’s degree in Computer Science, Engineering, or a related field plus one (1) year of experience as a Software Engineer, Operations Analyst, or a related occupation.
Experience may be gained concurrently and must include one (1) year of developing and operating large-scale data structures for business intelligence analytics using each of the following:
- ETL/ELT processes
- OLAP technologies
- Data modeling
- SQL
- Big data
- Streaming technologies such as Spark, Hive, or Kafka.
Alternatively, will accept a Bachelor’s degree and five (5) years of experience.
Multiple positions. Apply online: www.amazon.jobs Job Code: ADBL164.
Experience may be gained concurrently and must include one (1) year of developing and operating large-scale data structures for business intelligence analytics using each of the following:
- ETL/ELT processes
- OLAP technologies
- Data modeling
- SQL
- Big data
- Streaming technologies such as Spark, Hive, or Kafka.
Alternatively, will accept a Bachelor’s degree and five (5) years of experience.
Please see job description and the position requirements above.
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.
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Employer: Audible, Inc.
Title: Software Development Engineer II – Data
Location: One Washington Park, Newark, NJ, 07102
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, AWS, and OLAP technologies. Provide a logical abstraction layer against large, multi-dimensional datasets and multiple sources. Gather business and functional requirements and translate requirements into robust, scalable, operable solutions that work well within overall data architecture. Analyze source data systems and drive best practices in source teams. Participate in 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. Position reports into Newark, NJ office; however, telecommuting from a home office may be allowed.
Requirements: Requires a Master’s degree in Computer Science, Engineering, or a related field plus one (1) year of experience as a Software Engineer, Operations Analyst, or a related occupation.
Experience may be gained concurrently and must include one (1) year of developing and operating large-scale data structures for business intelligence analytics using each of the following:
- ETL/ELT processes
- OLAP technologies
- Data modeling
- SQL
- Big data
- Streaming technologies such as Spark, Hive, or Kafka.
Alternatively, will accept a Bachelor’s degree and five (5) years of experience.
Multiple positions. Apply online: www.amazon.jobs Job Code: ADBL164.
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