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Using data warehouses (e.g., Snowflake, Redshift, BigQuery) to load and analyze data, including using complex SQL queries to transform data and tools like dbt to manage data transformation. Using data warehouses (e.g., Snowflake, Redshift, BigQuery) to load and analyze data, including using complex SQL queries to transform data and tools like dbt to manage data transformation.
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Data Extract, Load and Transform (ELT) process for loading from source to S3 and Transforming data from S3 to Redshift for reporting and analytics. AWS Redshift Infrastructure. Implement and design the lake house technologies with the IT Tech Lead.
RemoteExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Working knowledge with datastores MongoDB/DynamoDB, PostgreSQL, S3, Redshift, JDBC/ODBC, and Redis. Working knowledge with software platforms and services, such as, Docker, Kubernetes, JMS/SQS, SNS, Kafka, AWS Lambda, NiFi, Airflow, or similar.
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Experience with cloud services, particularly AWS, including Amazon S3, Amazon RDS, Amazon RedShift, Amazon ElasticSearch Service, Delta Lake, Neo4j, and/or Parquet. Leverage proficiency with AWS services, including Amazon S3, Amazon RDS, Amazon RedShift, Amazon ElasticSearch Service, Delta Lake, Neo4j, and Parquet for data storage, processing, and retrieval.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Background selling analytics and database solutions, experience with Snowflake, Databricks, Google Big Query and/or Amazon Redshift preferred. Background selling analytics and database solutions, experience with Snowflake, Databricks, Google Big Query and/or Amazon Redshift preferred.
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AWS, Spark, Adobe Analytics/AEP(Adobe Experience Platform) platform experience, Glue, Lamda, Python, Scala, EMR, Talend, PostgreSQL, Redshift. AWS, Spark, Adobe Analytics/AEP(Adobe Experience Platform) platform experience, Glue, Lamda, Python, Scala, EMR, Talend, PostgreSQL, Redshift.
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Ability to work with AWS cloud based data platforms and columnar stores is a plus (Redshift, Snowflake, etc.) Ability to work with AWS cloud based data platforms and columnar stores is a plus (Redshift, Snowflake, etc.
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Experience with modern data platforms (Azure Synapse, Databricks, Redshift, Big Query, Snowflake). Utilize programming languages like Java, Pyspark, Python and Open Source RDBMS and NoSQL databases, and Cloud-based data warehousing services such as Redshift and Snowflake.
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Prefer experience with modern cloud platforms (Snowflake, Redshift, Big Query) Prefer experience with modern cloud platforms (Snowflake, Redshift, Big Query) The Business Intelligence Analyst will be a member of the Analytics and Operations Planning team, responsible for analytical support of the Company's operations and strategic initiatives.
ExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Cloud Data Warehouse experience - Redshift/Snowflake. Our nationwide network of over 3,000 partner manufacturing facilities enables us to maintain consistently fast lead times while offering a broad array of capabilities, including CNC machining, 3D printing, sheet metal fabrication, injection molding, and urethane casting.
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Experience with data management and database systems for organizing and accessing large volumes of climate-related data, prefer experience with Redshift, and S3. Experience with R in a cloud/aws environment, specifically reading and writing to s3, redshift, or other cloud-based data storage.
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Knowledge of distributed databases such as Redshift, Snowflake, Azure Synapse, and BigQuery. Knowledge of distributed databases such as Redshift, Snowflake, Azure Synapse, and BigQuery. They enjoy the challenges of consulting and thrive to knock the socks off of clients.
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