IT Application Dev Engineer, Stores FinTech

* Bachelor's degree in Finance, Accounting, Engineering, Mathematics or other technical discipline
* 5+ year of experience as TM1 Developer or in a similar role with experience/ background in finance.
* Experience with data modeling, data warehousing, and building ETL pipelines and SQL
* 4+ years of relevant IBM Cognos TM1/Planning Analytics experience including system configuration, model building and developing reports or dashboards with TM1
* Corporate finance experience exhibiting knowledge of financial planning, budgeting and forecasting functions and related processes
* Experience in design and optimization of data-processing systems using AWS services (S3, EMR, Lambda, Glue, Athena, SNS, Cloud Watch, Redshift, Aurora/RDS)
* Experience with Java and experience with scripting languages like Perl, Python, Unix shell scripts, VBA and MS Excel
* Working experience with TM1Py, REST API
* Experience with design & delivery of formal training curriculum and programs
* Proficiency with Microsoft Project, Visio, and SharePoint

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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?

Amazon Stores FinTech Team is seeking a Application Development Engineer to design and develop scalable customer solutions to build planning and forecasting solutions, and help shape an end UI, built on the AWS Data Lake. We are the tech team that builds and supports Worldwide Amazon Stores – 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
* Deliver on data architecture projects and implementation of next generation financial solutions using IBM Planning Analytics (TM1).
* 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