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Experience with cloud-based data platforms and services (e.g., AWS, Azure, Google Cloud) including familiarity with relevant tools and technologies (e.g., S3, Redshift, BigQuery, etc.) Experience with cloud-based data platforms and services (e.g., AWS, Azure, Google Cloud) including familiarity with relevant tools and technologies (e.g., S3, Redshift, BigQuery, etc.
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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc.
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Experience with database systems such as Elasticsearch, DynamoDB, Aurora, BigQuery, Postgres, Cassandra, Redis. React, Vue.js or similar. Experience with database systems such as Elasticsearch, DynamoDB, Aurora, BigQuery, Postgres, Cassandra, Redis.
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Experience with deep learning frameworks such as TensorFlow or Pytorch. The A12 team is an elite machine learning group strategically located within the CTO office of JP Morgan Chase which tackles business critical priorities using innovative machine learning techniques and technologies with a focus on machine learning for Software, Cybersecurity and Technology Infrastructure.
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Familiarity with Hadoop, Spark, and Cloud databases (Snowflake, BigQuery, Redshift, Databricks) and stream processing frameworks (Kafka, Kinesis). Familiarity with Hadoop, Spark, and Cloud databases (Snowflake, BigQuery, Redshift, Databricks) and stream processing frameworks (Kafka, Kinesis.
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Understanding and experience with modern cloud data warehouse and engineering for one or more of the following cloud providers Azure (Synapse, Dynamo, Cosmos, Azure ML, Power BI), AWS (Redshift, Sagemaker), GCP (BigQuery, Vertex, Cognitive Services), Snowflake, Tableau.
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Good understanding of cluster and parallel architecture as well as high-scale or distributed RDBMS and/or knowledge on NoSQL platforms (e.g. PostgreSQL, Redshift, BigQuery, Snowflake, DynamoDB, Neo4J, MongoDB, Cassandra, HBase, etc.
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Familiarity with modern data infrastructure tools such as cloud data warehouses (Snowflake, BigQuery, etc), data integration tools (Fivetran, Airflow, etc), business intelligence tools (PowerBI, Sigma, etc), CRM systems (Salesforce, Everyaction, etc), and other enterprise data tools (such as Airtable) preferred.
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Experience with analytics platforms like Google Analytics, Hotjar, BigQuery, Snowflake, and others. Experience with analytics platforms like Google Analytics, Hotjar, BigQuery, Snowflake, and others.
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Prior experience with SQL/BigQuery and BI/data visualization tools (Looker, Tableau) is a plus - you will be required to eventually learn and apply these skills on the job. Prior experience with SQL/BigQuery and BI/data visualization tools (Looker, Tableau) is a plus - you will be required to eventually learn and apply these skills on the job.
$90,000 - $120,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Experience working in cloud environments (Google Cloud Platform, BigQuery) Powering growth for customers ranging from aspiring entrepreneurs in emerging markets to the world's leading brands like Airbnb, Amazon, Google and Upwork, Payoneer makes global commerce easy and secure.
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Expert at Business Analysis and Data Analysis skills in Healthcare Insurance domainExperience in gathering requirements from business users, translating in requirements to define business rules & objectivesHandson experience in SQL with advanced level skillsKnowledge and understanding in Data Warehouse and data modelingExperience using Data Warehousing and Business Intelligence tools such as Datastage / Informatica, GCP Bigquery, Tableau and SSRS, etc.
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Experience working with Periscope and BigQuery. Quizlet is the popular, global learning platform and app that millions of students, teachers and everyday people use to study any subject imaginable for school, work or as part of their personal interestsincluding two-thirds of high school students and half of all college students in the US. Combining cognitive science and machine learning, Quizlet guides students through adaptive study activities to confidently reach their learning goals.
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BigQuery and Cloud Storage. AWS certification (e.g., AWS Certified Solutions Architect) is a plus. Proven experience as an AWS Architect or similar role. BigQuery and Cloud Storage. Strong programming skills with experience in Webhook and API development using Node.js, Ruby, Python, Shell, and PowerShell.
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Configure and maintain GCP services such as Compute Engine, Kubernetes Engine, Cloud Storage, BigQuery, Cloud SQL, etc., ensuring optimal performance, reliability, and cost-effectiveness. Configure and maintain GCP services such as Compute Engine, Kubernetes Engine, Cloud Storage, BigQuery, Cloud SQL, etc., ensuring optimal performance, reliability, and cost-effectiveness.
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bigquery job in New York, NY
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