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You will leverage tools and technologies like AWS, EKS, Kafka, Angular, AWS RDS, Snowflake, and others. NET, Angular and JavaScript, SQL Server, AWS (container and sever-less), Git, Visual Studio and/or front-end technologies including CSS, Semantic HTML and Responsive DesigPreferences:Experience with Supervision Regulatory technology solutions coupled with a strong understanding of appropriate metrics and key performance indicators.
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Good experience and understanding of operationalization of large scale data and analytics solutions on Snowflake Cloud Data Warehouse. Extensive hands-on experience with Apache Spark, Kafka streaming for large-scale data processing and analytics.
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Data Modeling Skills: The candidate should be proficient in creating data models and have experience with various data modeling techniques such as star and snowflake schemas. Proficiency in Power BI: The candidate should have expertise in Power BI and its various features such as data modeling, report development, visualization, and dashboard creation.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Experience with Azure Synapse, Big Data or Snowflake is a plus. Skills required: Azure Data Factory, DataBricks, Data Lake Architecture, Azure DevOps, Python, SQL, solid understanding of Azure fundamentals and security best practices, Release management.
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Postgres, Oracle, SQL Server, Snowflake, Amazon Relational Database Services (RDS) preferred. Certifications in AWS DevOps, AWS RDS/DMS, data engineering, data science, automation, or database technologies a plus.
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Experience with data pipeline development and management and data warehousing (Redshift, Snowflake) is a must. Data Architecture Leadership : Lead the design, implementation and operation of robust data architecture, ETL/ELT pipelines, and data warehousing strategies using Airflow and AWS cloud services.
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Prior experience with any Cloud Data platform (Snowflake, Azure Synapse, Redshift, Big Query etc.) Experience with any Data Integration/ETL/ELT technologies like Informatica, Talend etc., and Data Visualization/BI Tools like Tableau, Power BI would be plus.
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Experiencewithmodern data technologies/stack such as cloud services (AWS, Azure, GCP), Containerization (Docker, Kubernetes), Databases (Redshift, Snowflake), Programing languages (R, Python, SAS), VCS and CICD (GitHub, GitLab, CodeCommit, Jenkins, CodePipeline.
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Must have Exp. in Redshift, Cloudera, Snowflake and Databricks. Must have Exp. in Redshift, Cloudera, Snowflake and Databricks. JD : Big Data Architect. Minimum 12years of experience as technical architect and should have designed big data solutions on Hadoop based technologies specially Cloudera.
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Title: Data Engineer with Cloud, Snowflake, and Python Visa: USC only since Active Public Trust Clearance or ability to obtain Public Trust Clearance required. Data Engineer with Cloud, Snowflake, and Python.
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Cloud-based data & analytics frameworks (e.g., Azure, Databricks, Snowflake) New emerging technology environments (e.g., Snowflake) Platforms & frameworks (e.g., Snowflake, Synapse.
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Database, datalake knowledge – Postgres, Oracle, Databricks, Snowflake. Database, datalake knowledge – Postgres, Oracle, Databricks, Snowflake. Implements development and SRE teams efforts in building Cloud Native applications by incorporating Cloud Security and Microservices Security best practices and industry standards.
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Being the shepherd in establishing Snowflake Governance across several business units. Leveraging BI tools like Sigma atop Snowflake to create analytical insights for business critical flows.
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Vydia is a wholly-owned division of gamma., the artist-first multimedia platform providing creative and business services across all artistic and commercial formats founded by CEO Larry Jackson and President Ike Youssef.
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Experience with supporting technologies such as JIRA, Snowflake, Tableau, Lucidchart, SOQL, SQL. 5+ years of experience across Enterprise Application support including: Salesforce.com CRM, NetSuite ERP and/or Workday HRIS.
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snowflake job in Trenton, NJ
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