Amazon
Data Engineer, WWASFT
Amazon, Seattle, Washington, us, 98127
Job ID: 2848199 | Amazon.com Services LLC
WorldWide Amazon Stores FinTech (WWASFT) team is looking for an outstanding Data Engineer who is data-driven, uncompromisingly detail oriented, smart, efficient, and driven to help our business succeed. You have a passion for technology and are keen to leverage existing skills while trying new approaches. You can explain complex concepts to your non-technical customers in simple terms.
As a Data Engineer, you will be working in one of the world's largest and most complex data warehouse environments. You will design, implement, and support scalable data infrastructure solutions to integrate with multi heterogeneous data sources, aggregate and retrieve data in a fast and safe mode, curate data that can be used in reporting, analysis, machine learning models, and ad-hoc data requests. You will be exposed to cutting edge AWS big data technologies. You should have excellent business and communication skills to work with business owners and Tech leaders to gather infrastructure requirements, design data infrastructure, and build up data pipelines and data-sets to meet business needs. You stay abreast of emerging technologies, investigating and implementing where appropriate.
Key job responsibilities
Design and develop the pipelines required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Python, and AWS big data technologies. Oversee and continually improve production operations, including optimizing data delivery, re-designing infrastructure for greater scalability, code deployments, bug fixes, and overall release management and coordination. Establish and maintain best practices for the design, development, and support of data integration solutions, including documentation. Work closely with Product teams, Finance Teams, Software developers, and Business Intelligence Engineers to explore new data sources and deliver the data. Able to read, write, and debug data processing and orchestration code written in Python/Scala etc., following best coding standards (e.g., version controlled, code reviewed, etc.).
About the team
The Worldwide Amazon Stores Finance Technology (WWASFT) team serves as the dedicated technology partner for Amazon's global Amazon Stores (AS) organization. Our mission is to deliver innovative technical solutions that empower Amazon Stores' financial and operational processes and systems. We are committed to providing cutting-edge tools and services to support over 4,000 Finance end-users across all Consumer and Operations finance verticals. Moreover, we own and maintain a suite of centralized fintech products that enable common financial activities such as planning, variance analysis, allocations, data management, analytics, reporting, and compliance and controllership functions. BASIC QUALIFICATIONS
3+ years of data engineering experience. Experience with data modeling, warehousing, and building ETL pipelines. Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets. Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS. PREFERRED QUALIFICATIONS
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 working on and delivering end-to-end projects independently.
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. #J-18808-Ljbffr
WorldWide Amazon Stores FinTech (WWASFT) team is looking for an outstanding Data Engineer who is data-driven, uncompromisingly detail oriented, smart, efficient, and driven to help our business succeed. You have a passion for technology and are keen to leverage existing skills while trying new approaches. You can explain complex concepts to your non-technical customers in simple terms.
As a Data Engineer, you will be working in one of the world's largest and most complex data warehouse environments. You will design, implement, and support scalable data infrastructure solutions to integrate with multi heterogeneous data sources, aggregate and retrieve data in a fast and safe mode, curate data that can be used in reporting, analysis, machine learning models, and ad-hoc data requests. You will be exposed to cutting edge AWS big data technologies. You should have excellent business and communication skills to work with business owners and Tech leaders to gather infrastructure requirements, design data infrastructure, and build up data pipelines and data-sets to meet business needs. You stay abreast of emerging technologies, investigating and implementing where appropriate.
Key job responsibilities
Design and develop the pipelines required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Python, and AWS big data technologies. Oversee and continually improve production operations, including optimizing data delivery, re-designing infrastructure for greater scalability, code deployments, bug fixes, and overall release management and coordination. Establish and maintain best practices for the design, development, and support of data integration solutions, including documentation. Work closely with Product teams, Finance Teams, Software developers, and Business Intelligence Engineers to explore new data sources and deliver the data. Able to read, write, and debug data processing and orchestration code written in Python/Scala etc., following best coding standards (e.g., version controlled, code reviewed, etc.).
About the team
The Worldwide Amazon Stores Finance Technology (WWASFT) team serves as the dedicated technology partner for Amazon's global Amazon Stores (AS) organization. Our mission is to deliver innovative technical solutions that empower Amazon Stores' financial and operational processes and systems. We are committed to providing cutting-edge tools and services to support over 4,000 Finance end-users across all Consumer and Operations finance verticals. Moreover, we own and maintain a suite of centralized fintech products that enable common financial activities such as planning, variance analysis, allocations, data management, analytics, reporting, and compliance and controllership functions. BASIC QUALIFICATIONS
3+ years of data engineering experience. Experience with data modeling, warehousing, and building ETL pipelines. Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets. Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS. PREFERRED QUALIFICATIONS
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 working on and delivering end-to-end projects independently.
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. #J-18808-Ljbffr