DESCRIPTION
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 Data Engineer to design and build a flagship multi-year project to inject automated planning and predictive forecasting, 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
* Expertise and experience in building and scaling Finance Planning Applications
* 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 data extraction, cleansing, validation, transformation and ingestion 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
BASIC QUALIFICATIONS
- 1+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
- Experience with one or more scripting language (e.g., Python, KornShell)
PREFERRED QUALIFICATIONS
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.
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 status. If you would like to request an accommodation, please notify your Recruiter.