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Job Description & How to Apply Below
Skills:
Snowflake, PySpark, Python and SQL
Secondary
Skills:
AWS, Azure, GCP, Linux, Windows Environments, Redshift, and Databricks
Job Location:
Hyderabad
Mode of work: Work from Office
Experience:
15+ Years of Experience in Data Modeling/Data Warehousing and 5+ years in Snowflake.
Job Summary:
We are seeking a highly skilled Architect with over 12 years of experience in Data Modeling/Data Warehousing and 5+ years in Snowflake. The role involves leading Snowflake optimizations, setting up and configuring Snowflake components, and implementing cloud management frameworks. Proficiency in Python, PySpark, SQL, and experience with cloud platforms (AWS, Azure, GCP) are essential.
Responsibilities:
Work on Snowflake optimizations at both the warehouse and database levels.
Setup, configure, and deploy Snowflake components, including Databases, Warehouses, and Roles.
Setup and monitor data shares and Snow Pipes for Snowflake projects.
Implement Snowflake Cloud management frameworks, including monitoring, alerting, governance, budgets, change management, and cost optimization.
Develop cloud usage reporting to measure cost-related insights, metrics, and KPIs.
Build and improve Snowflake forecasting processes and explore cloud spend trends.
Requirements:
12+ years of experience in Data Modeling/Data Warehousing.
5+ years of experience in Snowflake Data Modeling and Architecture , including expertise in Cloning, Data Sharing, and Search optimization.
Proficient in Python, PySpark, and complex SQL for analysis.
Experience with cloud platforms like AWS, Azure, and GCP.
Knowledge of Snowflake performance management and cloud-based database role management.
Presales experience, Competency building, Risk management, Budgeting, estimations and risk analysis
Good To Have:
Candidates with these extra skills on their resumes have an added advantage while getting their profiles assessed. Some of them are as follows:
P&C Insurance Domain Experience.
Snowpro Advanced Architect certified.
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