Key job responsibilities
Design, build, and maintain complex data solutions and ETL pipelines using Python, Spark, SQL, and AWS services (S3, Glue, Redshift, MWAA, EMR, Lambda)
Develop high-quality data architecture and scalable pipelines to support customer reporting needs, while implementing and supporting analytics infrastructure for internal Finance customers
Interface with technology teams to extract, transform, and load data from various sources, ensuring data quality and making appropriate trade-offs in design decisions
Collaborate with business users, developers, and BI Engineers to deliver on data architecture projects and next-generation financial solutions
Actively participate in code reviews, design discussions, and team planning, while continually improving reporting processes and automating self-service support
Identify and implement process improvements to drive innovation, scale existing solutions, and create new ones based on stakeholder needs
Diagnose and resolve operational issues through detailed root cause analysis, maintaining high standards of system availability and reliability
A day in the life
Your typical day is hands-on and fast-paced, moving fluidly between building and maintaining the data systems your team depends on. You're continuously balancing the need to deliver results with the requirement to support ongoing operations and handle unexpected issues and escalations. Your role requires you to be adaptable, make quick decisions, and maintain a broad perspective on how individual tasks and challenges fit into the larger organization goal of data infrastructure modernization.
About the team
The Operations finance data ecosystem supports global data management solutions inclusive of the scaling solutions to support 10+ data producer teams and 2500 finance customers. The role will work with BIE/DE teams across the organization, identifying critical customer pain points and help design , implement and drive customer's data journey. In the age of AI capabilities, the role will identify newer mechanisms to help incorporate AI driven workflows both for our builder and customer communities.
3+ years of data engineering experience
Experience with data modeling, warehousing and building ETL pipelines
Bachelor's degree
Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
Knowledge of distributed systems as it pertains to data storage and computing
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 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.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Bellevue - 132,100.00 - 178,800.00 USD annually
