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Minimum 5 years of designing and implementing an operational production grade large-scale data solution on Microsoft Azure Snowflake Data Warehouse. Strong understanding or Snowflake on Azure Architecture, design, implementation and operationalization of large-scale data and analytics solutions on Snowflake Cloud Data Warehouse.
ExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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5+ years in a pivotal Software/Data Engineering role, with deep exposure to modern data stacks, particularly Snowflake, Airflow, dbt, and AWS data services. Lead architectural design sessions for the modern data stack, focusing on solutions that seamlessly integrate with our technology stack, which encompasses Snowflake, Airflow, dbt, Great Expectations, and AWS data services.
$145,000 - $165,000 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Work with developing and deploying data infrastructure and integrations in the cloud including data warehouse like snowflake, redshift etc. Develop ETL integrations with Snowflake - Data extraction, transforming and loading.
ExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Requirements 4+ years of software engineering experience Strong Python skills Strong data operations mindset and opinions on next-generation warehouse tools Strong written and verbal communication skills Experience with building production grade applications using Python Experience with data warehouse platforms (e.g. Amazon Redshift, Google BigQuery, Snowflake.
$164,000 - $234,000 a yearExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Experience with cloud data lake/data warehouse technologies such as Snowflake, Azure Synapse, AWS Redshift, etc. They have familiarity with modern cloud-based data platforms (data lake, data warehouse), cloud data integration technologies, business intelligence tools (Power BI, Tableau, etc.
Full-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Strong fluency in Python and SQL, experience with Tensorflow, PyTorch, Airflow and data warehouse. Experience with SQL and cloud technologies like Snowflake, Google BigQuery, Databricks, presto etc.
Full-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Lead cost efficiency, cost optimization efforts to keep data warehouse/virtual warehouse costs low. Strong understanding of cloud infrastructure and services like EMR, Athena, Scala, Databricks, Snowflake, Spark, RDS, glue, Redshift, apache airflow, SQS, SNS.
ExpandApply NowActive JobUpdated 5 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.
ExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Contributes design, code, configurations, and documentation for components that manage data ingestion, real time streaming, batch processing, data extraction, transformation, and loading into Data Lake/Cloud Data Warehouse/MPP (Snowflake/Redshift/similar Technologies.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Hands on experience with modern cloud data warehouse and engineering for one or more of the following cloud providers - GCP (Big Query, Vertex, Cognitive Services), Snowflake, Azure (Synapse, Dynamo, Cosmos, Azure ML, Power BI), AWS (Redshift, Sage maker), Tableau;Possessing a certification(s) in one of the following is a big plus – GCP/AWS/Azure/ data or ML engineering.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Overall 13+ Years experience and a Minimum 3+Years exp in Snowflake and cloud-based data warehouse, should have worked as an architect for at least 3 years. Hands-on experience with Snowflake utilities, UDF's, SnowSQL, Snowpipe, Streams & Tasks, Big Data model techniques using Snowpark python/Java/Scala.
Full-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Strong understanding of data integration technologies, ETL processes, and data warehousing concepts; solid comprehension of various cloud-based data platforms such as Azure, Snowflake, AWS, etc.
Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Architecture, design, implementation and operationalization of large-scale data and analytics solutions on Snowflake Cloud Data Warehouse. Developing EL pipelines in and out of data warehouse using combination of Databricks, Python and SnowSQL.
Full-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Set the standards for warehouse and schema design in massively parallel processing engines such as Hadoop and Snowflake while collaborating with analysts and data scientist in the creation of efficient data models.
Full-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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A Sr. Data Engineer is proficient in the development of all aspects of data processing including data warehouse architecture/modeling and ETL processing. Highly proficient in the architecture and development of an event driven data warehouse; streaming, batch, data modeling, and storage.
ExpandApply NowActive JobUpdated 2 days ago
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