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Experience with Data Warehouse technologies such as AWS Redshift, Snowflake, Azure Data Warehouse, etc. Expertise in database administration for large Data warehouse/datamart implementations including configuration, implementation, data modeling, maintenance, redundancy/HA/DR, security, troubleshooting/performance tuning, upgrades, database, data and server migrations, SQL.
$148,000 - $170,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience with cloud-based data warehouse platforms (AWS RedShift, GCP BigQuery, Snowflake or equivalent. Bachelor's degree in Computer Science, Data Science, Statistics, Informatics, Information Systems, Mathematics, Computer Engineering, or quantitative field.
Full-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Able to provide architecture, design, implementation and operationalization of large-scale data and analytics solutions on Snowflake Cloud Data Warehouse. Minimum 3 years of experience in design and implementation of large-scale data solution on Azure Snowflake Data Warehouse.
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Good knowledge of popular database and data warehouse technologies from Snowflake Microsoft Azure SQL Data Warehouse. Should have 10+ years of experience with last 4 years in implementing Cloud native end-to-end Data Solutions from ingestion to consumption to support variety of needs such as Modern Data warehouse, BI, Insights and Analytics.
Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Sr. Snowflake Data Warehouse Specialist. Able to Develop EL pipelines in and out of data warehouse using combination of Databricks, Python and SnowSQL. Hands-on experience with Snowflake utilities such as SnowSQL, SnowPipe, Python, Tasks, Streams, Time travel, Optimizer, Metadata Manager, data sharing, and stored procedures.
Full-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Prior experience with any Cloud Data platform (Snowflake, Azure Synapse, Redshift, Big Query etc.) In collaboration with BI/Analytics Manager, IT Leadership and Business Partners, develop and maintain roadmap for the management and governance of Enterprise Data Warehouse, ensuring it reflects the current and future business needs, aligned with industry, best practices and solution roadmap.
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End-to-end product management, with oversight on balancing multiple content ingestion pipelines, as well as delivery to both on-premise and multiple cloud data warehouse solutions (Azure, Snowflake.
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Qualifications: Experience level: ExperiencedMinimum 5 years of experienceEducation: Bachelors skills: Data Warehouse (5 years of experience is required)Snowflake (5 years of experience is preferred)AWS Cloud Formation (5 years of experience is preferred)Python (5 years of experience is preferred)Jenkins (5 years of experience is preferred.
$63 - $73 an hourFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Experience with data warehouse solutions (like BigQuery/ Redshift/ Snowflake) Our Technological Stack includes Airflow, DBT, Python, Snowflake, AWS, GCP, Amplitude, Fivetran, and more.
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Examples include data pulls from multiple sources, complex data cleaning, SQL data pulls, Google Tag Manager, predictive models (machine learning), expanded use of APIs (Google APIs, Snowflake), and process automation.
Full-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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Experience working with data warehouse tools(Snowflake, Databricks, Redshift etc.) We are looking for a Senior Quality Engineer to join our data engineering team. 2+ years of experience in cloud ETL tools(Azure data factory, AWS glue.
RemoteExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Experience working with cloud data warehouses such as BigQuery (strongly preferred), Snowflake, or Redshift. As a Data Engineer with a focus on Python ETL, you will create robust and resilient data pipelines that ingest data from a variety of sources, including cloud storage, relational databases, unstructured data, and third-party APIs. These pipelines will stage and format the data, then load it into a cloud data warehouse.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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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. Experience with Cloud data tools and architecture, including Snowflake, Azure Data Factory, Data Lake, and Synapse.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Extensive hands-on experience implementing data migration and data processing using AWS services: VPC/SG, EC2, S3, AutoScaling, CloudFormation, LakeFormation, DMS, Kinesis, Kafka, Nifi, CDC processing Redshift, Snowflake, RDS, Aurora, Neptune, DynamoDB, Cloudtrail, CloudWatch, Docker, Lambda, Spark, Glue, Sage Maker, AI/Client, API GW, etc.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Snowflake or a Cloud Warehouse product equivalent, such as Google BigQuery or AWS RedShift. Data systems: Snowflake and a few legacy data warehouses. 7+ years of hands-on experience in building, integrating, or driving enterprise-level data architecture with Oracle data products, including Oracle OCI, Oracle EBS, and Oracle Fusion.
ExpandApply NowActive JobUpdated 8 days ago
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