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Experience with Snowflake, Redshift or Vertica. Experience in Data Warehousing (Star/Snowflake schema) concepts. Development languages/frameworks : Java/Scala, Apache Spark, Kafka, Vertica, JavaScript (React / Redux), MicroStrategy.
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Hands-on experience data modeling with cloud database systems (ex: Redshift or Snowflake) or cloud data lake/lakehouse systems is preferred. Hands-on experience data modeling with cloud database systems (ex: Redshift or Snowflake) or cloud data lake/lakehouse systems is preferred.
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Knowledge of data warehousing concepts and technologies (e.g., Redshift, BigQuery, Snowflake). Knowledge of data warehousing concepts and technologies (e.g., Redshift, BigQuery, Snowflake.
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5+ years of proficiency with AWS including EC2, EMR, S3, Kinesis, Kafka, Redshift, RDS Databases, Cloudwatch, Cloudtrail, Step Functions, IAMs, and Snowflake -Familiarity with Azure is a plus.
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Hands-on experience with leading data warehousing and analytics technologies (e.g., Databricks, Snowflake, AWS Redshift, Google BigQuery). Design and maintain datawarehouse systems such as big data processing solutions including but not limited to databricks, snowflake etc.
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. 1+ years of data warehousing experience (Redshift or Snowflake.
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Significant professional experience in ETL / ELT using cloud-based databases at scale, such as MySQL, Postgres, BigQuery, Redshift, and/or Snowflake. Experience with the tools we use, like AWS (including Glue and Lambda), Redshift, Data Build Tool (DBT), Snowflake, and Docker - plus experience with tools we don’t use, but should, and the wisdom to know when to recommend them.
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4+ years of data warehousing experience (Redshift or Snowflake) Therefore, we prioritize individuals coming from the following communities: Refugee, Neurodivergent, Single Parent, Blind or Low Vision, Deaf or Hard of Hearing, Black, Hispanic, Asian, Military Veterans, the Elderly, the LGBTQ, and Justice Impacted individuals.
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Utilize programming languages like Java, Scala and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. Utilize programming languages like Java, Scala and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake.
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Experience with Databricks, Snowflake, Redshift, or similar platforms. Experience with Databricks, Snowflake, Redshift, or similar platforms. Join Our Team: Machine Learning Engineer (MLOps.
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Experience of using one/more scalable (MPP) relational databases such as Teradata, Netezza, Redshift, Snowflake and SQL data warehouse for advanced analytics. Exposure and hands on exposure to ETL using Snowflake SQL and Talend.
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OLAP (RedShift, Presto, Snowflake) or non-relational (MongoDB, DynamoDB) database technologies. OLAP (RedShift, Presto, Snowflake) or non-relational (MongoDB, DynamoDB) database technologies.
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Experience with data warehouses: Snowflake, BigQuery, RedShift. Haus is working with well known brands like FanDuel, Sonos, and Hims & Hers, and has seen more than 30x ROI by running experiments and helping brands make more profitable decisions.
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G Snowflake, Redshift, Hive, SQL/NoSQL, columnar storage formats) and methodologies (e. g dimensional modeling, data marts, star/snowflake schemas) g Airflow, DBT, Spark, Hive, Parquet/ORC, Protobuf/Thrift, etc.
Full-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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2+ years of data warehousing experience (Redshift or Snowflake) Utilize Snowflake for efficient data storage, data warehousing, and Azure Data Factory for orchestrating and automating data workflows.
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