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Our Technological Stack includes Airflow, DBT, Python, Snowflake, AWS, GCP, Amplitude, Fivetran, and more. Experience with data warehouse solutions (like BigQuery/ Redshift/ Snowflake) Our Technological Stack includes Airflow, DBT, Python, Snowflake, AWS, GCP, Amplitude, Fivetran, and more.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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2+ years of data warehousing experience (Redshift or Snowflake) Expert-level proficiency in Azure Data Factory, Integration Platforms, Python programming, DBT, and data modeling. Script and program in Python and use DBT for transformation tasks to optimize data processes.
Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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3+ years of experience with RDBMS and no-SQL database technologies – AWS Redshift, RDS AuroraDB and DynamoDB, and Snowflake preferred. 3+ years of professional experience with ETL tools such as Talend, DBT, or Informatica.
Full-timeExpandApply NowActive JobUpdated 27 days ago - UpvoteDownvoteShare Job
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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. Snowflake or a Cloud Warehouse product equivalent, such as Google BigQuery or AWS RedShift.
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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 8 days ago - UpvoteDownvoteShare Job
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Knowledge of big data platforms like Snowflake, DBT, AWS Redshift, Postgres, MongoDB, and Hadoop. Experience with "Snowflake Cloud Datawarehouse" and DBT tool. Knowledge of big data platforms like Snowflake, DBT, AWS Redshift, Postgres, MongoDB, and Hadoop.
Full-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience with cloud data lake/data warehouse technologies such as Snowflake, Azure Synapse, AWS Redshift, etc. Strong experience with modern data ingestion and transformation technologies such as Fivetran, Stitch, dbt, etc as well as traditional data integration/management tools such as SSIS, Informatica, etc.
Full-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Proficiency in data engineering tech stack; Snowflake / PostgreSQL / Python / SQL / GitLab / AWS / Airflow/ DBT and others. Proficiency in relational database platforms and cloud database platforms such as Snowflake, Redshift, or GCPStrong in Python and/or another data centric language.
$77 - $118Full-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Data Engineering - You have firsthand experience with database performance tuning, cloud storage and processing technologies (e.g. Redshift, S3, Glue, Lambda, Databricks, DBT), workflow orchestration (e.g. Dagster, Airflow), distributed computing (e.g. Spark, EMR), message queues and streams (e.g. Kafka, Kinesis.
$80,000 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience designing highly scalable ETL processes with complex data transformations, data formats including error handling and monitoring using tools like Qlik Compose, DBT. Experience with Cloud Data Warehouse platforms like Snowflake, Redshift.
ExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Position also requires two (2) years of experience with each of the following: scalable data integration (ETL/ELT) pipelines for digital products; building data models in dbt, Snowflake, and Looker; SQL, including writing performant queries on large data sets; Writing data pipeline code; cloud data warehouses, including Snowflake, BigQuery, or Redshift; and Visualization tools including Tableau, or PowerBI.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Designing, authoring, and maintaining data transformations written in Redshift SQL and dbt. Hands on experience with data transformation tools (preferably dbt) Experience with cloud data warehouse technologies (preferably Amazon Redshift.
RemoteExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Bachelor’s degree in Computer Science, Engineering, Management Information Systems (MIS), Business or related/relevant degree AND minimum of 5 years of experience as a Data Engineer, Database Developer, BI Developer, Software Engineer, Programmer, Technical or Systems Analysts, and/or Database Administrator preferred.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Experience with modern data platforms (Azure Synapse, Databricks, Redshift, Big Query, Snowflake). Proficiency in Python, PySpark Scala, Java, SQL, Airflow, dbt. Utilize programming languages like Java, Pyspark, Python and Open Source RDBMS and NoSQL databases, and Cloud-based data warehousing services such as Redshift and Snowflake.
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Familiarity with Continuous Integration and Continuous Delivery systems and tools (Azure DevOps, GitHub). Experience with master data (MDM), metadata, and data governance tools. Expertise in ETL/ELT, SQL, and cloud data integration tools (Azure Data Factory, AWS Glue, Informatica.
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