Responsibilities:
Job Description:
Knowledge of SQL language and cloud-based technologies
Data warehousing concepts, data modeling, metadata management
Data lakes, multi-dimensional models, data dictionaries
Migration to AWS or Azure Snowflake platform
Performance tuning and setting up resource monitors
Snowflake modeling – roles, databases, schemas
SQL performance measuring, query tuning, and database tuning
ETL tools with cloud-driven skills
Integration with third-party tools
Ability to build analytical solutions and models
Coding in languages like Python
Hadoop, Spark, and other warehousing tools
Managing sets of XML, JSON, and CSV from disparate sources
Snowflake warehousing, architecture, processing, administration
Data ingestion into Snowflake
Enterprise-level technical exposure to Snowflake applications
Proven track record of data migration and optimization within Snowflake
Ability to translate business needs into technical specifications
Design and implement scalable and efficient data storage solutions using Snowflake.
Write, optimize, and troubleshoot SQL queries within the Snowflake environment.
Integrate Snowflake with various data sources and third-party tools.
Ensure data security and compliance with industry standards.
Collaborate with cross-functional teams to meet data- driven business objectives.
Stay updated with the latest Snowflake features and best practices.
Proficient in SQL and familiar with ETL processes
Experience with data modeling and cloud computing environments
Hands-on experience with Snowflake features like Time Travel and Zero-Copy Cloning
Understanding of data compliance and security best practices
Experience in performance tuning and cost optimization in a cloud data platform
Familiarity with BI tools integration, such as Tableau.
Mandatory skill sets: Snowflake
Years of experience required: 7-10 Years
Education qualification: BE, B.Tech, MCA, M.Tech
Required Skills
Structured Query Language (SQL)