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Tech stack includes Airflow, Spark, Databricks, Delta Lake, Snowflake, Scala, Python. Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Redshift, Big Query.
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Experience with integrating other external applications like Sailpoint, etcExperience with automating secure access to AWS services like (Redshift, Athena, S3), Microsoft O365, Microsoft Azure, Snowflake, PowerBIExperience with cloud platforms such as AWS, Snowflake, Azure, or Google Cloud.
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Primary focus on Java application development and enhancements using Java, Python, SQL, Snowflake DB, Databricks spark/Notebook, Azure Blob storage. Familiarity with Databricks and/or Snowflake is a plus.
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Experience with cloud data services such as Redshift, Relational database services (RDS), Snowflake and Databricks. Experience with cloud data services such as Redshift, Relational database services (RDS), Snowflake and Databricks.
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Hands-on experience with data warehousing, data lakes, and analytics platforms (e.g., Snowflake, Redshift, BigQuery). Hands-on experience with data warehousing, data lakes, and analytics platforms (e.g., Snowflake, Redshift, BigQuery.
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Minimum 8 years of designing and implementing an operational production grade large-scale data solution on Microsoft Azure Snowflake Data Warehouse. Strong understanding on Azure Architecture, design, implementation and operationalization of large-scale data and analytics solutions on Snowflake Cloud Data Warehouse.
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Strongly prefer experience building Data Lake & Data warehouse solutions using ETL,ELT pipelines on Databricks, Snowflake, Azure Data Lake etc. Strongly prefer experience building Data Lake & Data warehouse solutions using ETL,ELT pipelines on Databricks, Snowflake, Azure Data Lake etc.
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3-5 years of experience working with the Snowflake platform and knowledge of current capabilities/features 1-3 years of experience as an Analytics Engineer, Data Engineer, or similar role 1-3 years of experience in business intelligence/analytics, preferably working with property/casualty insurance data Experience querying complex data structures using SQL and optimizing complex SQL queries is required.
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Experience with cloud data environments (Snowflake, AWS, GCP, Azure, Databricks etc.) Background and/or hands-on experience with back-end cloud data platforms Snowflake, AWS, Databricks etc.
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Familiarity with big data technologies such as Spark, Snowflake, Databricks, or EMR. Familiarity with big data technologies such as Spark, Snowflake, Databricks, or EMR. Reach & Scale: The products and platforms this group builds and operates delight millions of consumers every minute of every day – from Disney+ and Hulu, to ABC News and Entertainment, to ESPN and ESPN+, and much more.
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Experience in a management position in a health care delivery environment, leading a cyber security program in a healthcare setting, integrating database and web applications, working in a Windows environment, ETL development and tools (i.e., DBT, Airflows, Qlik/Attunity, Mulesoft), and with cloud based products (i.e., Snowflake, Tableau, Databricks.
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This candidate should be proficient in using BI tools such as Tableau, in addition to experience with one or more modern technologies such as relational databases, AWS, Snowflake, Python, Databricks, Git, and Machine Learning.
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Technology stack experience: AWS, Snowflake, Databricks, Apache Spark, Power BI / Tableau. Technology stack experience: AWS, Snowflake, Databricks, Apache Spark, Power BI / Tableau. The Product Director has accountability for creating the vision & strategy, managing the roadmap and executing on the product backlog working closely with cross functional teams across data engineering, data governance, data science and data analytics within AI & Data.
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Experience with Snowflake/BigQuery, Google Dataproc/Databricks or any big data frameworks on Spark. Experience with Snowflake/BigQuery, Google Dataproc/Databricks or any big data frameworks on Spark.
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Typescript, JavaScript, AWS, GCP, Snowflake, Docker, Kubernetes, React, MySQL, PostgreSQL, Start up, Distributed Systems, APIs, Software Engineering, Manager. Typescript, JavaScript, AWS, GCP, Snowflake, Docker, Kubernetes, React, MySQL, PostgreSQL, Start up, Distributed Systems, APIs, Software Engineering, Manager.
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snowflake job in Jersey City, NJ
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