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Utilize Snowflake for efficient data storage, data warehousing, and Azure Data Factory for orchestrating and automating data workflows. 2+ years of data warehousing experience (Redshift or Snowflake.
Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Experience working with data warehouse tools(Snowflake, Databricks, Redshift etc.) 2+ years of experience in cloud ETL tools(Azure data factory, AWS glue) Experience working with data warehouse tools(Snowflake, Databricks, Redshift etc.
RemoteExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience working with cloud data warehouses such as BigQuery (strongly preferred), Snowflake, or Redshift. Some experience with AI and ML services such as Google Cloud Data Lab or Cloud ML engines or similar services in AWS or Azure.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Experience with data warehousing using AWS Redshift, MySQL, or Snowflake. Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud. Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka.
$73,100 - $166,000 a yearPart-timeExpandApply NowActive JobUpdated 29 days ago - UpvoteDownvoteShare Job
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Knowledge of data warehousing concepts and technologies like Snowflake or Redshift. Experience with cloud-based data platforms like AWS, Azure, or Google Cloud. Knowledge of data warehousing concepts and technologies like Snowflake or Redshift.
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Experience with data warehousing using AWS Redshift or Snowflake. As a big data engineer at Booz Allen, you’ll implement data engineering activities on some of the most mission-driven projects in the industry.
$75,600 - $172,000 a yearExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience with Python, SQL, Scala, or Java. 2+ years of experience in data engineering, software development, machine learning or data science. Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there s more structured and unstructured data available today than ever before.
$93,300 - $212,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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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. At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud.
Part-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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5+ years of data warehousing experience (Redshift or Snowflake) 5+ years of experience with a public cloud (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 experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 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.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Power BI, Snowflake, Snowsight, Python, R, Big Data, Business Intelligence, Cognos, Report Builder, Azure, R, DAX, Microsoft BI, Integrate existing data sources with Power BI, including but not limited to Snowflake, Azure, and SQL Server.
Full-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Experience with Cloud data tools and architecture, including Snowflake, Azure Data Factory, Data Lake, and Synapse. Bachelor’s degree in computer science, data science or a related field with eight (8) or more years of working as a data engineer, ETL developer and/or data warehouse DBA.
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Proficiency in data storage technologies such as relational databases (e.g., PostgreSQL, MySQL), NoSQL databases (e.g., MongoDB, Cassandra), data warehouses (e.g., Snowflake, Redshift), and data lakes (e.g., Amazon S3, Azure Data Lake Storage.
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Snowflake or a Cloud Warehouse product equivalent, such as Google BigQuery or AWS RedShift. Data pipeline: dbt, Azure Data Factory, Talend, and python. Infrastructure: Hybrid is a mix of on-premise infrastructure and public cloud, primarily Azure and Oracle cloud infrastructure (OCI.
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Collaborating amongst team members across several geographies, our Cloud practitioners engineer cloud-based analytics solutions on AWS, Azure, Databricks, Google Cloud Platform, Snowflake, Oracle, Informatica Cloud and a combination of native cloud technologies, including computing at edge and curating data-in-motion.
Full-timeExpandApply NowActive JobUpdated 21 days ago
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