Amazon Manager Data Analytics 

India, Karnataka, Bengaluru 

750441809

FBA Inventory Optimization Services (FIOS) is looking for a results-oriented data engineering and analytics leader to help deliver analytics at scale across our product and services portfolio.Key job responsibilities
Own end to end reporting and underlying ETL processes and data models for supported services.
Understanding business requirements and needs of the product stake owners and define the data elements and data structure that the team should leverage to enable analytical capabilities.
Working with business customers in understanding the business requirements and implementing solutions to support analytical and reporting needs.
Designing and planning for solutions in the various engineering subject areas as it relates to data storage and movement solutions: data warehousing, enterprise system data architecture, data processing, data management, and data analysis.
Ensuring completeness and compatibility of the technical infrastructure to support system performance, availability and architecture requirements
Reviewing and participating in testing of the data design, tool design and data extracts/transforms
Participate in strategic & tactical planning discussions.

- 2+ years of processing data with a massively parallel technology (such as Redshift, Teradata, Netezza, Spark or Hadoop based big data solution) experience
- 2+ years of relational database technology (such as Redshift, Oracle, MySQL or MS SQL) experience
- 2+ years of developing and operating large-scale data structures for business intelligence analytics (using ETL/ELT processes) experience
- 5+ years of data engineering experience
- Experience managing a data or BI team
- Experience communicating to senior management and customers verbally and in writing
- Experience leading and influencing the data or BI strategy of your team or organization
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS

- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience with AWS Tools and Technologies (Redshift, S3, EC2)