Job Description

Scope:

• Specializes in the architecture, design, and management of data solutions within the Snowflake Data Cloud. 

Our current technical environment:

• Software: Java, Springboot, Gradle, GIT, Hibernate, Rest API, OAuth
• Application Architecture: Scalable, Resilient, event driven, secure multi-tenant Microservices architecture
• Cloud Architecture: MS Azure (ARM templates, AKS, HD insight, Application gateway, Virtue Networks, Event Hub, Azure AD)
• Frameworks/Others: Kubernetes, Kafka, Elasticsearch, Spark, Snowflake, Mongo, Springboot, Gradle GIT, Ignite

What you’ll do:

•  Specializes in the comprehensive suite of the Snowflake data platform, to manage the design and implement the data storage solutions.
• Make optimal use of Snowflake’s cloud driven infrastructure for effective data flow and availability.
• Effectively collaborate with data analysts for supporting data-driven business decisions across the units.
• Write and review service descriptions including relevant measures of service quality and drives architecture to deliver on these promises through self-healing, reliable services that require minimum manual intervention.
• Provide early visibility and mitigation to technical challenges through the journey.

What we are looking for:

• Minimum 6-10 Year / Bachelor's Degree in computer science, data science, information science or related field, or equivalent work
• Must have Hands-on experience on implementing large-scale data intelligence solution around Snowflake DW
• Must have Experience working with Snowflake Functions, hands on exp with Snowflake utilities, stage and file upload features, time travel, fail safe, procedure writing, tasks, snowpipe, SnowSQL, Snowpark
• Focus on ELT to load data into database and perform transformations in database
• Ability to use analytical SQL functions
• Experience building dimensional Data marts, Data lakes and warehouses
• Good experience on streaming services such as Kafka
• Cloud Data Warehouse solutions experience (Snowflake, Azure DW, or Redshift); data modeling, analysis, programming
• Experience with DevOps models utilizing a C|/CD tool
• Work in hands-on Cloud environment in Azure Cloud Platform (ADLS, Blob)
• Advanced SQL queries, scripts, stored procedures, materialised views
• Orchestration workflow, Azure Data Factory, and Bl tools like Tableau preferred
• Analyze data models