Required Skills :

1. Enterprise experience needed. Retail experience is a plus

2. Java springboot and Avro registries

3. MONGO Db

4. Confluent Kafka streaming.

Day to Day Responsibilities/project specifics:

Technical Lead to help teams to deliver highly performant and scalable data products and platforms to drive consumption of data from our enterprise data ecosystem, while driving data engineering best practices; lead multiple high performing teams of product focused software & data engineers. Embrace and incubate emerging technology and open-source products across all platforms. collaborate with internal teams to find areas of opportunities for automation while partnering with architects, product owners, data professionals, and software & data engineers to drive the implementation of new applications.

Duties & Responsibilities
Responsible for leading the design, configuration, engineering, integration, and implementation of data platforms components and services and advise the engineering teams that work across Agile teams to design, develop, test, implement and support technical solutions across full-stack development tools and technologies.
Deliver data-driven solutions that are customer focused, easy to consume and create sustained business value
Leverage experience to build efficient and scalable data platforms utilizing best in class tools and services
Build and maintain optimized and highly available data pipelines for both real-time and batch data processing
Deliver end-to-end data solutions that are highly available, scalable, stable, secure, and cost effective
Design and customize complex data models, search queries, dashboards, and promote data-driven solutions in support of our technology strategies
Provides over sight and accountable for following all compliance, methodology and process standards such as SDLC, Change Management, Agile Methodology and IT Security policies.
Responsible for designing, developing, modifying, and evaluating products for internal functional areas including finance, supply chain, merchandizing. Analyzes existing programs or formulates logic for new data products, devises logic procedures, prepares flowcharting, plans with the team, performs coding, and tests/debugs programs. Develops conversion and system implementation plans. Prepares and obtains approval of system and programming documentation. Recommends changes in development, maintenance, and system standards. Trains users in conversion and implementation of system.