As a Data Engineering Manager you will lead a team of data engineers front end engineers and business intelligence engineers. You will own our internal data products (Yoda) transform to AI build agents and scale them for IN and emerging stores. You will provide technical leadership drive application and data engineering initiatives and build end-to-end data solutions that are highly available scalable stable secure and cost-effective. You strive for simplicity demonstrate creativity with sound judgement. You deliver data & reporting solutions that are customer focused easy to consume and create business impact. You are passionate about working with huge datasets and have experience with the organization and curation of data for analytics. You have a strategic and long-term view on architecture of advanced data eco systems. You are experienced in building efficient and scalable data services and have the ability to integrate data systems with AWS tools and services to support a variety of customer use cases/applications
Key job responsibilities
Lead a team of data engineers front end engineers and business intelligence engineers to deliver cross-functional data and application engineering projects for Databases Analytics and AI/ML services
Establish and clearly communicate organizational vision goals and success measures
Collaborate with business stakeholders to develop roadmap and product requirements
Build Own Prioritize Lead and Deliver a roadmap of large and complex multi-functional projects and programs
Manage AWS infrastructure IMR cost and RDS/Dynamo instances
Interface with other technology teams to extract transform and load data from a wide variety of data sources
Own the design development and maintenance of metrics reports dashboards etc. to drive key business decisions.
About the team
CoBRA is the Central BI Reporting and Analytics org for IN stores and AI partner for International emerging stores . CoBRA teams mission is to empower Category and Seller orgs including Brand Account marketing and product/program teams with self-service products using AI (Yoda and bedrock agents) build actionable insights (Quicksight Q Cutstom agents Q- business) and help them make faster and smart decisions using science solutions across Amazon fly wheel on all inputs (Selection Pricing and Speed).
- 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)
- Knowledge of building AI tools AWS bedrock agents LLM/foundational models
- Experience in supporting ML models for data needs
- Exposure to prompt engineering and upcoming AI technologies and its landscape
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