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Experience with DataLake environments (e.g., Snowflake, Hadoop). Join Our Team: Test Automation Engineer. Experience with ETL Testing. Experience with DataLake environments (e.g., Snowflake, Hadoop.
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4+ years of data warehousing experience (Redshift or Snowflake) 4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud.
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4+ 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. Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems.
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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 large scale enterprise applications using big data open-source solutions such as Spark, Kafka, Elastic Search / Solr and Hadoop, HBase. - Familiarity with data warehousing platforms and data pipeline tools such as Redshift, Snowflake, SQL Server, etc.
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2+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, or MySQL) 1+ years of data warehousing experience (Snowflake or DeltaLake) 1+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud.
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802 Delaware Avenue (18052), United States of America, Wilmington, DelawareLead Data Engineer, (Python, Java or Scala) Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data infrastructures and pipelines.
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Familiarity with data warehousing concepts and tools (e.g., Redshift, Snowflake ). Hands-on experience with big data technologies such as Hadoop, Spark, Kafka, etc. Familiarity with data warehousing concepts and tools (e.g., Redshift, Snowflake.
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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). 3+ years of experience in application development including Python, SQL, Scala, or Java.
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Microsoft Azure, SOLR, Hadoop Cluster, Databricks, Snowflake, Figma, AirflowDag, and Salesforce Marketing Cloud. Design, implement, and testcloud computing solutions using Snowflake technology.
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Experience with big data technologies (e.g., Hadoop, Spark, Databricks, Snowflake) and cloud platforms (e.g., AWS, Azure). Experience with big data technologies (e.g., Hadoop, Spark, Databricks, Snowflake) and cloud platforms (e.g., AWS, Azure.
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Redshift / Snowflake / Biq Query / Azure SynapseShould have hands-on experience in. Hadoop ( HBASE , Map Reduce, Storm, Hive and HiveQL)Hands on experience in architecture of modern data platforms using technologies such as.
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Design, develop, and maintain high volume Java and Scala based data processing jobs using industry standard tools and frameworks in the Hadoop ecosystem, such as Spark, Kafka, Hive, Impala, Avro, Flume, Oozie, and Sqoop.
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Bachelor's or master's degree in computer science or related field, such as mathematics and statistics; preferably with a focus on data analyticsExperience programming in Apache Spark, Hadoop, and PythonExperience with SQL and database management systems, such as MySQL and PostgreSQL.Experience building data pipelines and analytics data marts on MPP databases, such as RedShift, BigQuery, and Snowflake.
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Experience with any of the following: Data Architecture, Elastic Search, DBT, Airflow, Palantir Foundry, Data Quality tools, Collibra, MDM, Informatica, Spark, Snowflake, Teradata, SAP Business Warehouse, Business Objects Suite, Tableau, SAS Enterprise Miner, and other database and BI technologies, open-source Hadoop, and related technologies, data access languages such as SQL, SAS, R, Python, Scala, etc.
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