Data Engineer - Amazon FinTech

Amazon; Seattle (WA); On-site; USD 100,000 - 130,000; Full time

Job summary

A leading company seeks a skilled Data Engineer to design and implement innovative financial solutions using AWS technologies. You will manage data engineering projects that enhance global financial systems, leveraging your expertise in SQL and FinTech. Join a team that values your curiosity and problem-solving skills in a dynamic environment.

Qualifications

• Experience building data engineering solutions in a large enterprise.
• Knowledge of financial reporting, budgeting, and forecasting functions.

Responsibilities

• Design and implement next generation financial solutions using AWS resources.
• Build and deliver high quality data pipelines for extensive data analysis.
• Prepare tutorials and training videos on best practices for global delivery.

Skills

SQL

FinTech

Data Engineering

Education

Bachelor's degree

Tools

AWS

TM1

Hadoop

Spark

Job description

Job ID: 2977678 | Amazon Support Services Pty Ltd

Are you a highly skilled data engineer and project leader? Do you think big, enjoy complexity and building solutions that scale? Are you curious to know what you could achieve in a company that pushes the boundaries of modern technology? If you answered yes and you have a background in FinTech you’ll love this role and Amazon’s data obsessed culture.

Amazon Devices and Services Fintech is the global team that designs and builds the financial planning and analysis tools for wide variety of Amazon’s new and established organizations. From Kindle to Ring and even new and exciting companies like Kuiper (our new interstellar satellite play) this team enjoys a wide variety of complex and interesting problem spaces. They are almost like FinTech consultants embedded in Amazon.

As a Data Engineer in this team you will build and enhance the businesses global financial systems org wide. The primary product used is TM1, but unlike other FinTech teams you will have the freedom to use Amazon's full arsenal of AWS technology to build the innovative solutions required to deliver at the scale a trillion dollar company demands. You will manage all aspects from requirements gathering, technical design, development, deployment, and integration to solve budgeting, planning, performance management and reporting challenges.

Key job responsibilities
- Design and implement next generation financial solutions assisted by almost unlimited access to AWS resources including EC2, RDS, Redshift, Stepfunctions, EMR, Lambda and 3rd party software TM1.
- Build and deliver high quality data pipelines capable of scaling from running for a single month of data during month end close to 150 and more months when doing restatements.
- Continually improve ongoing reporting and analysis processes and infrastructure, automating or simplifying self-service capabilities for customers.
- Dive deep to resolve problems at their root, looking for failure patterns and suggesting and implementing fixes or enhancements.
- Prepare runbooks, methods of procedures, tutorials, training videos on best practices for global delivery.
- Solve unique challenges presented by the massive data volume and diverse data sets working for one of the largest companies in the world.

BASIC QUALIFICATIONS

- Substantive experience building data engineering solutions in a large enterprise
- Basic knowledge of TM1/Planning Analytics or other financial planning and reporting systems of scale.
- Extensive experience writing SQL queries and stored procedures.
- Knowledge of distributed systems as it pertains to data storage and computing
- FinTech experience, exhibiting knowledge of financial reporting, budgeting and forecasting functions and processes.
- Bachelors degree.

PREFERRED QUALIFICATIONS

- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions.
- Experience with programming languages such as python, java shell scripts.
- Experience with IBM Planning Analytics/TM1 both scripting processes and writing rules.
- Experience with design & delivery of formal training curriculum and programs.
- Project management, scoping, reporting, and scheduling experience.
- austechjob

Acknowledgement of country:
In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.

IDE statement:
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.

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Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability or other legally protected status.