Amazon seeks an experienced Data Engineer to play a key role in the development and implementation of a comprehensive financial reporting platform to support the Worldwide Amazon Stores.
The successful candidate will have a proven track record of developing integrated financial reporting tools and platforms.
The role operates in a fast-paced, global, results-oriented environment, and will have the opportunity to influence a multi-year finance transformation effort.
As part of a Worldwide stores team, you will be given the tools and exposure to help drive change in one of the fastest growing, largest and most complex supply chains in the world.
This role provides the perfect opportunity for a developer to continue their career development on a wide variety of green fields projects and expand their skill set into other technologies within the AWS stack and other technologies like Python, TM1 and TMPy.
Key job responsibilities
- Design and implementation of financial data solutions, ensuring the overall architecture meets customer needs
- Experience building OLAP based solutions leveraging TM1, Essbase, Kylin, or similar technologies
- Experience developing data transformations using python, pyspark, scala, etc
- Manage AWS resources including Redshift, Lambda, Glue, and Step Functions.
- Interface with other technology teams to extract, transform, and load data from wide variety of data sources
- Continually improve ongoing reporting and analysis processes, including automating or simplifying self-service support for customers.
- Collaborate with business users to dive deep and understand what they need to support their work
- Diagnose and resolve operational issues, perform detailed root cause analysis, and respond to suggestions for enhancements.
- Identify process improvement opportunities to drive innovation
We are open to hiring candidates to work out of one of the following locations :
Cupertino, CA, USA Dallas, TX, USA Jersey City, NJ, USA Seattle, WA, USA
BASIC QUALIFICATIONS
- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL
- Bachelor's degree
- Experience with TM1 / Planning Analytics, Essbase, Kylin, or similar technologies
- Proficiency with MS Excel
- Knowledge of corporate financial planning, budgeting and forecasting
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)
- Working experience with TM1Py and the TM REST API
- Experience with design & delivery of formal training curriculum and programs
- Proficiency with Microsoft Project, Visio, and SharePoint
- Project management, scoping, reporting, and scheduling experience a plus
- Excellent written and verbal communication skills with a customer focused, professional demeanor
- Able to work on a diverse team
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