Design and implement efficient data models, including star schema and snowflake schema.
Define data quality rules and standards to ensure data accuracy and consistency.
Create and manage data pipelines using Snowpipe and other ETL tools.
Write complex SQL queries and stored procedures to extract, transform, and load data.
Utilize Snowflake's advanced features, such as micro-partitions, time travel, and zero-copy clones.
Optimize query performance and troubleshoot performance issues.
Implement data security and access controls to protect sensitive data.
Integrate Snowflake with other cloud services, such as AWS S3 or Azure Blob Storage.
Leverage cloud-native technologies to build scalable and cost-effective data solutions.
Establish data governance policies and procedures to ensure data quality and compliance.
Collaborate with data stewards and business analysts to understand data requirements.
Diagnose and resolve complex data issues and performance bottlenecks.
Proactively identify and address potential problems.
Qualifications :
5+ years of experience in data warehousing and ETL processes.
Strong proficiency in SQL and PL / SQL.
In-depth knowledge of Snowflake, including Snow SQL, Snowpipe, and data modeling techniques.
Experience with cloud platforms (AWS, Azure) and data storage solutions (S3, ADLS).
Experience with data security and access controls.
Strong analytical and problem-solving skills.
Excellent communication and collaboration skills.
Ability to work independently and as part of a team
ref : hirist.tech)
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Solution Architect • Bangalore
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