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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.
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Experience with designing and developing end to end data pipelines on AWS - Firm understanding of data modeling, master data management, enterprise data warehousing, ETL, reporting, querying, requirements analysis, and data integration techniques.
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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.
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5+ years of data warehousing experience (Redshift or Snowflake) At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) 5+ years of data warehousing experience (Redshift or Snowflake.
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4+ years of data warehousing experience (Redshift or Snowflake) 4+ years of data warehousing experience (Redshift or Snowflake) 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud.
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These technologies include but are not limited to: Microsoft, SAP, Qlik, Snowflake, Alteryx, Automation Anywhere, and Workday Adaptive Insights. Your proficiency in data modeling, database design, and data warehousing will serve as the bedrock for pioneering innovations, coupled with hands-on experience across various data sources and platforms, with a specific emphasis on Microsoft Azure.
ExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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5+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 7+ years of experience in application development including Python, SQL, Scala, or Java. 5+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL.
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This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). 9+ years of experience in application development including Python, SQL, Scala, or Java.
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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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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.
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4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems.
$197,400 a yearExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Experience with data warehousing such as Redshift Snowflake or Dremio. Python, MWAA (Airflow), Spark Optimization, AWS Glue, AWS EC2, Apache Spark. Develop test maintain and document data pipelines using DBT Spark AWS Glue and Airflow.
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As a Capital One Lead Data Engineer, youll have the opportunity to be on the forefront of driving a major transformation within Capital One. organization delivers exceptional technology, products, services and processes to support our Data and Machine Learning ecosystems and core functions that support holistic operations for Capital One as an enterprise.
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Experience with data warehousing such as AWS Redshift, MySQL, or Snowflake. Experience with distributed data and computing tools such as Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka.
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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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