JD:

• Data Engineer with good knowledge of Snowflake cloud platform, architecture.
• Experience with various data ingestion methods (snowpipe & others), time travel and data sharing and other Snowflake capabilities
• Very good knowledge of data warehouse, data infrastructure, data platforms, ETL implementation, data modelling and design
• Ability to be creative and analytical in a problem-solving environment.
• Effective verbal and written communication skills.
• Adaptable to new environments, people, technologies, and processes
• Ability to manage ambiguity and solve undefined problems
• Working experience in services of the public Clouds like AWS or Azure
• Experience in using Data migration using cloud-native tools like AWS DMS or Azure DMS
• Experience in tasks and streams in Snowflake

Responsibilities:

• Build and maintain robust and scalable ETL/ELT pipelines to integrate data from multiple systems across the enterprise
• Build complex data models to perform business analysis using SQL Queries on Snowflake
• Collaborate across the company s multiple data teams to meet analytics deliverables
• Maintain databases and develop/support monthly/quarterly metrics reports
• Improve performance, efficiency, and accuracy of all queries
• Provide business partners with actionable insights into KPIs in the form of regular reporting and ad-hoc analysis
• Identify and drive process and reporting enhancements, develop and collaborate across teams to help scale the process
• Good knowledge of SQL and should be able to write complex SQLs

Qualifications

• Experience in writing strong SQL in data warehouse technologies (Snowflake or any modern database)
• Strong understanding of Data Warehousing concepts for big data applications and services, preferably using Snowflake
• 3 years of proven experience in building large scale ETL/ELT pipelines using your own code (Python, Java )
• Experience working with ML/AI teams is a big plus
• Expertise in database design & development, writing optimized queries, handling facts, dimension data effectively
• Effective problem solving and analytical skills. Ability to manage multiple projects and report simultaneously across different stakeholders
• Structured thinking with ability to easily break down ambiguous problems and propose impactful data modeling designs
• Passion for analyzing large and complex data sets and converting them into the information which drive business decisions
• Attention to detail, organization, and effective verbal/written communication skills
• Must be able to work in fast paced environment and be able to adapt to changing requirements