Data Engineer

vor 1 Monat

Melbourne, Österreich Amazon Vollzeit

Job ID: 2648200 | Amazon Support Services Pty Ltd

How often have you had an opportunity to be an early member of a team that is tasked with solving a huge customer need through disruptive and innovative technology?

The Financial Systems and Analytics Team (FSAT) is seeking a Data Engineer to help lead a flagship multi-year project to inject automated planning and reporting, predictive forecasting, and help shape an end UI, built on the AWS Data Lake. We are the tech team that supports WW Amazon Operations – one of the fastest growing, largest and most complex Supply Chains in the world. This position requires a high level of technical expertise with data engineering concepts.

Key job responsibilities
- Expertise and experience in building and scaling complex Finance Planning Applications, including Allocations using TM1/IBM Planning Analytics Technology
- Deliver on data architecture projects and implementation of next generation financial solutions
- Manage AWS resources including EC2, RDS, Redshift, Kinesis, EMR, Lambda etc
- Build and deliver high quality data architecture and pipelines to support customer reporting needs
- Interface with other technology teams to extract, transform, and load data from a wide variety of data sources
- Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers
- Collaborate with business users, development teams, and operation engineering teams to tackle business requirements and deliver against high operational standards of system availability and reliability
- Dive deep to resolve problems at their root, looking for failure patterns and suggesting fixes
- Prepare runbooks, methods of procedures, tutorials, training videos on best practices for the team
- Build monitoring dashboards and creation of critical alarms for the system
- Build and enhance software to extend system, application, or tool functionality to improve business processes and meet end user needs while working within the overall system architecture
- Diagnose and resolve operational issues, perform detailed root cause analysis, respond to suggestions for enhancements
- Identify process improvement opportunities to drive innovation
- Rotational on-call availability for critical systems support

About the team
WW Operations Finance is poised for a revolution. Historically, automation and technical infusion has taken a back-seat to important financial functions such as controllership, financial oversight, risk mitigation, and strong investment analysis. Finance is set to be the Chief Story Tellers, and along the way inject machine learning, BI, advanced analytics and technical tools – built to suit finance and business needs.

We are open to hiring candidates to work out of one of the following locations:

Melbourne, VIC, AUS

BASIC QUALIFICATIONS

- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- 5+ years of TM1/Planning Analytics Technology

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)
- Finance domain knowledge

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 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, disability, age, or other legally protected attributes.

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.

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