Data Engineer II, AWS Fintech

Amazon


Job Location:

Hyderabad - India

Monthly Salary: Not Disclosed
Posted on: 9 hours ago
Vacancies: 1 Vacancy

Department:

Data Engineering

Job Summary

Are you passionate about data Does the prospect of dealing with massive volumes of data excite you Do you want to build data engineering solutions that process billions of records a day in a scalable fashion using AWS technologies Do you want to create the next-generation tools for intuitive data access If so AWS Finance Technology (AWS Fintech) is for you!

As a Data Engineer you will be working on building and maintaining complex data pipelines assemble large and complex datasets to generate business insights and to enable data driven decision making and support the rapidly growing and dynamic business demand for data.
Data Engineers help us design manage and continuously enhance our Analytics needs. You will develop and deliver analytics applications including metrics generation metrics correlation modeling and many other use cases to help improve process effectiveness customer experience and automation. As a DE you will deal with technical aspects of data warehousing (Redshift Spectrum EMR ETL) infrastructure and build data pipelines tools and reports that enable program managers analysts BIEs solution architects and executives to design and deliver bench marking services for Amazons business units. We want to you to feel welcomed included and valued right from the start. We know that your experiences will help us build a better world

Key job responsibilities
Lead and design complex data architectures ensuring scalability security and alignment with business objectives
Drive implementation of large-scale data pipelines and ETL processes using AWS technologies
Identify and resolve system-wide data challenges including performance bottlenecks and architectural deficiencies
Establish data engineering best practices including governance security standards and operational excellence
Mentor team members and provide technical leadership across multiple projects
Make strategic build-vs-buy decisions and drive consensus on technical solutions
Ensure data solutions are auditable accessible and maintainable across the organization
Collaborate with cross-functional teams to deliver innovative data solutions

About the team
AWS Finance Technology (Fintech) is the single-threaded owner of AWS financial data and technology solutions. We build and operate the services that power management and financial reporting for one of the worlds largest and fastest-growing cloud businesses. Our mission is to create comprehensive next-generation finance data services that automate repetitive data operations freeing finance and business users to focus on what matters most: telling a story with data and driving informed business decisions at scale. Our product portfolio standardizes finance operations across AWS teams at the product region and customer levels.

- 4 years of data engineering experience
- Experience with data modeling warehousing and building ETL pipelines
- Experience with SQL
- Experience working cross functionally with tech teams
- Experience with end-to-end ownership of major project deliverables
- Experience developing end to end business intelligence solutions including: data warehousing (e.g. Redshift) and business intelligence tools (e.g. Quicksuite)

- 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)

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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.


Required Experience:

IC

Are you passionate about data Does the prospect of dealing with massive volumes of data excite you Do you want to build data engineering solutions that process billions of records a day in a scalable fashion using AWS technologies Do you want to create the next-generation tools for intuitive data ac...

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