November 4
β’ Continuus Technologies is a consulting firm providing end-to-end business intelligence and data management solutions. β’ The role supports Snowflake data warehouse performance by optimizing queries and managing compute resources. β’ Work in a creative, teamwork-focused environment with autonomy and flexibility to excel.
β’ Monitor system performance and usage patterns. β’ Analyze query execution plans and resource consumption. β’ Review and optimize SQL queries for efficiency. β’ Design and implement database schemas for efficient data storage and retrieval. β’ Utilize clustering keys and sort keys to improve query performance. β’ Configure warehouses and resource monitors based on workload patterns. β’ Scale resources up or down as needed to meet performance requirements. β’ Implement indexing strategies to accelerate query performance. β’ Develop and optimize ETL processes for data ingestion. β’ Document performance tuning techniques and best practices. β’ Share knowledge and provide training to other team members. β’ Experience in a role performing data warehouse and analytics solution design and development using a variety of techniques. β’ Understanding of data architecture design, data modeling, and physical database design and tuning. β’ Hands-on experience in implementation of cloud data warehouses using Snowflake. β’ Hands-on experience in cloud technologies, such as AWS, Azure and/or Google Cloud. β’ Ability to understand data pipelines and modern ways of automating data using cloud based and on premise technologies. β’ Experience managing and creating extractions and queries in SQL. β’ Experience designing and developing data integration solutions using both ETL and ELT techniques. β’ SnowPro Certified or SnowPro Advanced Certification a plus.
β’ unlimited PTO β’ a generous 401K matching program β’ health, dental, vision, and pet insurance
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Transform data into valuable tools for Diverzify's operational stakeholders.
πΊπΈ United States β Remote
π° Private Equity Round on 2021-05
β° Full Time
π‘ Mid-level
π Senior
π° Data Engineer