Senior Big Data Engineer, Profit Intelligence
Amazon
Full-time
On-site
Seattle, Washington, United States
$139,100 - $240,500 USD yearly
Data Science & Analytics
Amazon’s Profit Intelligence is seeking a talented Big Data Engineer to join the Profit Intelligence team. We develop software solutions that are revolutionizing Amazon business intelligence through advanced algorithms running on big data technologies. The ideal candidate thrives in a fast-paced environment and relishes working with petabytes of extremely complex and dynamic data. In this role you will be part of a team of high caliber data and software engineers to build data pipelines using big data technologies such as Apache Spark, Hive/Hadoop, and distributed query engines. You should be passionate about working with big data and have the aptitude to incorporate new technologies and evaluate them critically. You must possess excellent business and communication skills and be able to work with business owners to analyze requirements and build solutions. You are a self-starter, has a proven track record of dealing with ambiguity and working in a fast-paced, highly dynamic environment. Working experience of any one of the programming languages such as Java, C#, C++, Scala, etc. is a big plus.
Key job responsibilities
- Interface with PMs, business customers, and software developers to understand requirements and implement solutions
- Collaborate with both Retail Finance and central FP&A teams to understand the interdependence and deliverables
- Design, develop, and operate highly-scalable, high-performance, low-cost, and accurate data pipelines in distributed data processing platforms with AWS technologies
- Recognize and adopt best practices in data processing, reporting, and analysis: data integrity, test design, analysis, validation, and documentation
- Keep up to date with big data technologies, evaluate and make decisions around the use of new or existing software products to design the data architecture
- 5+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience mentoring team members on best practices
- Bachelor's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent
- 8+ years of industry experience in software development, data engineering, business intelligence, data science, or related field with a track record of manipulating, processing, and extracting value from large datasets
- 8+ years of experience in designing and developing data processing pipelines using big data technologies (Hadoop, Hive, Hbase, Spark, EMR, etc.)
- 8+ years of experience in designing and developing analytical systems
- Experience building large-scale applications and services with big data technologies
- Experience providing technical leadership and mentoring other engineers for best practices on data engineering
- Expertise in SQL, DB and storage Internals, SQL tuning, and ETL development
- Strong organizational and multitasking skills with ability to balance competing priorities
- Working knowledge of scripting languages such as Python, Perl, etc.
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience operating large data warehouses
- Master's degree
- Experience communicating with users, other technical teams, and management to collect requirements, describe data modeling decisions and data engineering strategy
- Experience working with others to improve skills, making everyone more effective software engineers.
- Exposure to Big Data technologies and techniques.
- Working knowledge of a Object oriented language
- Experience with Amazon Redshift or other distributed computing technology.
- Experience in building complex software systems that have been successfully delivered to customers.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, 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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $139,100/year in our lowest geographic market up to $240,500/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
- Interface with PMs, business customers, and software developers to understand requirements and implement solutions
- Collaborate with both Retail Finance and central FP&A teams to understand the interdependence and deliverables
- Design, develop, and operate highly-scalable, high-performance, low-cost, and accurate data pipelines in distributed data processing platforms with AWS technologies
- Recognize and adopt best practices in data processing, reporting, and analysis: data integrity, test design, analysis, validation, and documentation
- Keep up to date with big data technologies, evaluate and make decisions around the use of new or existing software products to design the data architecture
- 5+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience mentoring team members on best practices
- Bachelor's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent
- 8+ years of industry experience in software development, data engineering, business intelligence, data science, or related field with a track record of manipulating, processing, and extracting value from large datasets
- 8+ years of experience in designing and developing data processing pipelines using big data technologies (Hadoop, Hive, Hbase, Spark, EMR, etc.)
- 8+ years of experience in designing and developing analytical systems
- Experience building large-scale applications and services with big data technologies
- Experience providing technical leadership and mentoring other engineers for best practices on data engineering
- Expertise in SQL, DB and storage Internals, SQL tuning, and ETL development
- Strong organizational and multitasking skills with ability to balance competing priorities
- Working knowledge of scripting languages such as Python, Perl, etc.
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience operating large data warehouses
- Master's degree
- Experience communicating with users, other technical teams, and management to collect requirements, describe data modeling decisions and data engineering strategy
- Experience working with others to improve skills, making everyone more effective software engineers.
- Exposure to Big Data technologies and techniques.
- Working knowledge of a Object oriented language
- Experience with Amazon Redshift or other distributed computing technology.
- Experience in building complex software systems that have been successfully delivered to customers.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, 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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $139,100/year in our lowest geographic market up to $240,500/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.