Data Engineer, Global Procurement Technology, Global Procurement Tech
Amazon
Full-time
On-site
Irvine, California, United States
$118,900 - $205,600 USD yearly
Are you a talented and inventive engineer, who insists on the highest standards, with a strong passion about modern data technologies and interested in improving business processes by building up solutions to extract valuable insights from the data?
The Global Procurement Technology, as a fundamental pillar of Global Procurement Operations, is looking for a skilled Data Engineer to contribute to related engineering activities and help build its future data ecosystem. This team plays a strategic role supporting the core Procurement business domains as well as being the cornerstone of any transformation and innovation initiative. Our mission is to provide a high-quality data environment to facilitate process optimization and business digitalization on a global scale. We are supporting various initiatives, including but not limited to:
- strategic supplier sourcing
- contract management
- spend analytics
- order management
- supplier risk and performance analysis
We are seeking an individual who can thrive in a fast-paced work environment, be collaborative in sharing knowledge and experience with colleagues. You will connect with world leaders in your field and you will be tackling Data Engineering challenges to ensure business continuity and high-quality decision making, working backwards with your customers.
Key job responsibilities
As a Data Engineer in the team, you will:
- contribute to the design and development of highly scalable and efficient database systems and pipelines, supporting process optimization in Procurement operations management, analytics and reporting
- be an expert in the architecture of data warehousing products; capable of utilizing various technologies and tools
- have strong analytical skills and excel in the modeling, creation, management, and enterprise use of large data sets, combining raw (complex) data from different sources
- define the design and development practices to extract, transform, and load (ETL) data from various sources (internal or external), supporting the rapidly growing and dynamic demand for data; deliver data as a (self-)service, which will have an immediate influence on day-to-day business decision making
- be the Subject Matter Expert (SME) for data solutions, while striving for efficiency by aligning data product initiatives with business goals
- contribute to data integration projects
- cooperate with different groups of stakeholders, e.g. engineers, scientists, product/program managers, leadership, etc. to properly evaluate any requirements or dependencies and recommend optimal solutions to the problems
- Experience with data modeling, warehousing and building ETL pipelines
- 5+ years of data engineering experience
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience with SQL
- Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
- Experience working on and delivering end to end projects independently
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
- Experience building large-scale, high-throughput, 24x7 data systems
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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,900/year in our lowest geographic market up to $205,600/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.
The Global Procurement Technology, as a fundamental pillar of Global Procurement Operations, is looking for a skilled Data Engineer to contribute to related engineering activities and help build its future data ecosystem. This team plays a strategic role supporting the core Procurement business domains as well as being the cornerstone of any transformation and innovation initiative. Our mission is to provide a high-quality data environment to facilitate process optimization and business digitalization on a global scale. We are supporting various initiatives, including but not limited to:
- strategic supplier sourcing
- contract management
- spend analytics
- order management
- supplier risk and performance analysis
We are seeking an individual who can thrive in a fast-paced work environment, be collaborative in sharing knowledge and experience with colleagues. You will connect with world leaders in your field and you will be tackling Data Engineering challenges to ensure business continuity and high-quality decision making, working backwards with your customers.
Key job responsibilities
As a Data Engineer in the team, you will:
- contribute to the design and development of highly scalable and efficient database systems and pipelines, supporting process optimization in Procurement operations management, analytics and reporting
- be an expert in the architecture of data warehousing products; capable of utilizing various technologies and tools
- have strong analytical skills and excel in the modeling, creation, management, and enterprise use of large data sets, combining raw (complex) data from different sources
- define the design and development practices to extract, transform, and load (ETL) data from various sources (internal or external), supporting the rapidly growing and dynamic demand for data; deliver data as a (self-)service, which will have an immediate influence on day-to-day business decision making
- be the Subject Matter Expert (SME) for data solutions, while striving for efficiency by aligning data product initiatives with business goals
- contribute to data integration projects
- cooperate with different groups of stakeholders, e.g. engineers, scientists, product/program managers, leadership, etc. to properly evaluate any requirements or dependencies and recommend optimal solutions to the problems
- Experience with data modeling, warehousing and building ETL pipelines
- 5+ years of data engineering experience
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience with SQL
- Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
- Experience working on and delivering end to end projects independently
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
- Experience building large-scale, high-throughput, 24x7 data systems
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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,900/year in our lowest geographic market up to $205,600/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.