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Snowflake ELT Architect
2 months ago
Snowflake architectural need sDevelop and support reporting and analytics, custom applications, and AI projectsBuilding tables and/or views in Snowflake that allow to build and deliver normalized, consistent, and flexible analytics
Data Transformation and Engineer ingLeveraging data transformation tools such as Data Build Tool (DBT) Adopting to DataOps process, practices and tools to streamline data engineering and development. And applying the principles like Automation, Collaboration, Agility, Quality and Scalabilit
y
Data Governance and rec ove
r
y Designing and implementing a data governance program Provide data backup and recovery designs, at Industry standar
ds
Qualific ati ons:
Educational Back gro
un
d: Bachelor's or master's degree in computer science, Engineering, Data Science, or a relatedfi e
ld.
Ex per
ien
ce: 5+ years of experience in Data Warehouse Architecting Proven experience with Data modelling, Data transformation, Data governance Applying the industry standard data recovery and backup methodo lo
gies
Techni cal
Ski
lls: In-depth knowledge of Snowflake components like Virtual Warehouses, Snowflake Data Sharing, and SnowPipe Proficiency in data modelling techniques such as star schema, snowflake schema, anddata vault Experience with ETL/ELT workflows, including the use of tools like DBT, Apache Airflow, and Snowflake’s nativefeatures. Strong SQL skills for data transformation and querying Experience with cloud-based ELT FiveTran Strong experience with AI models andpractices. Experience with version control systems such
as
Git.
Ni
ce to
have Tableau for data visualization and
ana
lytics
Soft S
kills: Excellent problem-solving and critical thinking abilities. Strong communication and collaboration skills. Ability to think out of the box and propose innovativ e sol
utions.
Preferre d Q
ualific
ations: Experience with other cloud platforms (AZURE, AWS,GCP) is a plus. Knowledge of data engineering principles and experience with ETL processes. Understanding of AI/ML concepts and model lifecyc le man
agemen t.
What W
e Offer: Competitive salary andbenefits package. Opportunity to work with a talented and passionate team. Flexiblework environment. Professional growth and development oppo
rtunities.