Sr. Data Engineer - Snowflake Expert

Position: Sr. Staff Data Engineer - Snowflake Expert
Role :
Sr Staff Data Engineer (Snowflake expert)  location :
Dallas, TX ( Hybrid in office - NO Remote)  Or Scottsdale, AZ ( Hybrid in Office - NO remote)    Eligibility Requirements:  We are unable to accommodate individuals on Optional Practical Training (OPT/CPT ) status for this position.
Overview:
Blue Yonder's Platform Data Cloud team’s mission is to reimagine the supply chain technology and serve as the backbone of Blue Yonder’s SaaS products. Role serves as one of the key global architect to focus on innovation in SaaS platform engineering, spanning infrastructure architecture through enterprise, application platform features, to accelerate our cloud data team’s delivery and solution quality. Primary Duties and Responsibilities.
*
* What You Will Do:

** Consistently delivers solid quality in both design and implementation and helps the team shape what is built how, in particular:  Core responsibilities includes working experience with building productionized data ingestion and processing data pipelines in Snowflake
· Strong understanding on Snowflake Architecture
· Fully well-versed with data warehousing concepts.
· Expertise and excellent understanding of Snowflake features and integration of Snowflake with other data processing.
Core responsibilities includes focusing on innovation and improving delivery effectiveness by driving product development features across the organization in software development, deployment, and infrastructure consistency.  Provide standardized enterprise solutions for cloud infrastructure and application deployment across multiple products.  Apply the appropriate software engineering patterns utilizing a meta-driven systems approach to build robust and scalable systems.  Expert in Object Oriented and Functional programming and the ability to apply your skills in developing Blue Yonder products.  

Influence fellow engineers by proposing software designs, providing feedback on software designs and/or implementation.  Demonstrated experience in large-scale Kubernetes systems, including how to sufficiently scale very large services in Kubernetes.  Modular and Service based Architectural Design.  The team currently comprises of global associates across US, Canada, India, and Germany and is expected to grow. The incumbent will need to be a quick learner.
** Our Current Technical Environment:
*** Application Architecture:
Scalable, Resilient, event driven, secure multi-tenant Microservices architecture.
* Cloud Architecture: MS Azure (ARM templates, AKS, Virtue Networks, Event Hub, Azure AD)
* Frameworks/Others:
Kubernetes, Kafka, Elasticsearch, Spark, NOSQL, RDBMS, Spring Boot, Snowflake.
** What we are looking for:
** Masters/Bachelor’s Degree in Computer Science or related field REQUIRED.Min of 12 to 15 years of experience in software development and you have 5+ years of experience in Snowflake data engineering and Python/Streamlit preferred.

Hands-on experience with Snowflake in following Areas.
** Must have Skill:**
* ** Expertise with Snowflake Architecture - Compute/Storage/Cloud Services**
* ** Ability to write Advanced SQL**
* ** Bulk data copy using snowflake /Snowpipe / Tasks/Streams**
* ** Time travel, Zero Copy Cloning**
* ** Optimizer, Metadata Manager**
* ** Role based access control (RBAC)**
* ** Data Sharing/Marketplace/ Listings/ Data Exchanges
*** DR - Replication/Failovers
* ** Performance Optimizations
*** stored procedures and UDFs  + External Functions
* ** Python OR Streamlit for data apps & automation
**** Good to have:
** Snowflake Admin Activities  Streamlit (Development Experience)  Understanding of Cost Chargebacks in Snowflake  experience with JSON Flattening

SnowSQL/SnowCLI and Snowsight
** Snowflake Architect certification is preferred:
** Experience building robust, highly available, and scalable data lakes.

Able to delivery POC’s within weeks for new Snowflake features and advise on usage with pros/cons of each.  Strong Experience working with Snowflake is a must and no-SQL data stores like Elastic, Postgres.  Expert in leveraging continuous integration and robust build/test automation, with a preference for cross platform stacks and containerization (Jira,…