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You will get to work in a best-in-class tech stack that includes Airflow, Snowflake, dbt, and Looker. Have hands-on experience developing and supporting a modern data infrastructure, including cloud data warehouses such as Snowflake, BI tools such as Looker, and data orchestration platforms such as Airflow.
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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. 2+ years of data warehousing experience (Redshift or Snowflake.
Full-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Bachelor’s degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and three (3) years of experience as a Senior IT Data Analyst (or closely related occupation) performing business intelligence data warehousing development using Snowflake and Tableau.
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Hands-on experience with database systems (e.g. SQL, NoSQL, vector, search) and data warehousing solutions (e.g. Snowflake, Redshift, BigQuery) Experience with cloud platforms such as AWS, Azure, or GCP, and related services (e.g. S3, Snowflake, BigQuery.
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Familiarity with data warehousing platforms and data pipeline tools such as Redshift, Snowflake, SQL Server, etc. Experience or knowledge of basic programming and DB's technologies (SQL, Python, Cassandra, PostgreSQL, AWS Aurora, AWS RDS , MongoDB, Redis, Couchbase, Oracle, MySQL, Teradata.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Experience in Big Data integration, including cloud-based platforms such as AWS, and Snowflake. 5+ years of experience in data engineering, integration, data warehousing, business intelligence, business analytics, or comparable role with relevant technologies and tools (Spark, Informatica/IICS or equivalent) – strong expertise in IICS / Informatica mandatory.
Full-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Experience with data warehousing, data lakes, and data pipelines, with experience in Snowflake, AWS, Google Big Query, Airflow preferred. Audacy, Inc. (NYSE: AUD; OTC: AUDA) is a leading multi-platform audio content and entertainment company with the countrys best collection of local music, news and sports brands, a premium podcast creator, major event producer, and digital innovator.
$140,000 - $165,000Full-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 5+ years of experience in application development including Python, SQL, Scala, or Java. 3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL.
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Prefer 7 years of experience in data analytics cycle (data gathering, transformation, mining, modeling, analytics, and reporting) using data analytics tools like SAS, Alteryx, Tableau, PowerBI, SQL, R, Python and/or ACL. Strong knowledge and experience with traditional and cloud database technology (e.g. SQL, Snowflake, and/or Azure) and an advanced understanding of data warehousing, data flow and handling.
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5+ years of experience in data engineering, data warehousing, business intelligence, ETL on databases such as Oracle or SQL Server, Snowflake, and/or big data is required. Experience using ETL tools to migrate data from various sources and targets including databases, flat files, XML files, Snowflake, NetSuite and other SaaS applications, Boomi preferred.
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Knowledge of data engineering technologies and platforms, such as SQL, Python, Spark, Kafka, Snowflake, DBT, AWS, Azure, or GCP. Solid understanding of data engineering concepts and techniques, such as data modeling, data warehousing, data integration, data pipeline, data lake, data quality, and data security.
ExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Experience with data warehousing and analytics (including Snowflake, Redshift, Databricks, or Big Query) Experience with data warehousing and analytics (including Snowflake, Redshift, Databricks, or Big Query.
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4+ years of data warehousing experience (Redshift or Snowflake) At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) 4+ years of data warehousing experience (Redshift or Snowflake.
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Act as a Subject Matter Expert for migrating on-prem applications to cloud-based PaaS focusing on data warehouse and big data solutions: Microsoft Azure HDInsight, Azure Databricks, Azure Synapse and Snowflake.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Experience utilizing and configuring cloud-based data warehousing solutions such as Amazon Web Services Redshift and Snowflake. Experience working in the public sector and supporting systems for areas such as Police/Fire Dispatch, Airport Operations, Land Management, Finance, Human Resource Management, Utilities and Public Works.
$108,763.2 - $132,204.8 a yearExpandApply NowActive JobUpdated 5 days ago
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