Snowflake Developer

DescriptionGreetings from Salderz!!Job Title: Snowflake DeveloperLocation: Baltimore, Maryland.Duration: Long term, on 1099/W2Need: US Citizens, Green Card Holders and EADs.Please Share Resume at (Moses@salderz.com) Or you can reach out to me on PH: 1(518)609-0146.Notes:All Skill Set with at least 10 years Experience, Snowflake SME, Snowflake space, ETL and informatica are nice to have.Job Description:Knowledge of SQL language and cloud-based technologies (SQL - 10 years)Data warehousing concepts, data modeling, metadata managementData lakes, multi-dimensional models, data dictionariesPerformance tuning and setting up resource monitorsSnowflake modeling – roles, databases, schemasSQL performance measuring, query tuning, and database tuningETL tools with cloud-driven skillsAbility to build analytical solutions and modelsRoot cause analysis of models with solutionsHadoop, Spark, and other warehousing toolsManaging sets of XML, JSON, and CSV from disparate sourcesSQL-based databases like Oracle SQL Server, Teradata, etc.Snowflake warehousing, architecture, processing, administrationData ingestion into SnowflakeEnterprise-level technical exposure to Snowflake applicationsResponsibilities:Create, test, and implement enterprise-level apps with SnowflakeDesign and implement features for identity and access managementCreate authorization frameworks for better access controlImplement novel query optimization, major security competencies with encryption.Solve performance issues and scalability issues in the systemTransaction management with distributed data processing algorithmsPossess ownership right from start to finishBuild, monitor, and optimize ETL and ELT processes with data modelsMigrate solutions from on-premises setup to cloud-based platformsUnderstand and implement the latest delivery approaches based on data architectureProject documentation and tracking based on understanding user requirementsPerform data integration with third-party tools including architecting, designing, coding, and testing phasesManage documentation of data models, architecture, and maintenance processesContinually review and audit data models for enhancementMaintenance of ideal data pipeline based on ETL toolsCoordination with BI experts and analysts for customized data models and integrationCode updates, new code development, and reverse engineeringPerformance tuning, user acceptance training, application supportMaintain confidentiality of dataRisk assessment, management, and mitigation plansRegular engagement with teams for status reporting and routine activitiesMigration activities from one database to another or on-premises to cloud.