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Proficiency in Python, PySpark Scala, Java, SQL, Airflow, dbt. Experience with modern data platforms (Azure Synapse, Databricks, Redshift, Big Query, Snowflake). Proficiency in Python, PySpark Scala, Java, SQL, Airflow, dbt.
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Experience with relational databases, data modeling principles, data pipeline tools and workflow engines, e.g. DBT, Apache Airflow, AWS GLUE, Spark. Familiarity with Golang, Python, and R.Familiarity with Clinical Data Model standards (e.g. OMOP, CDISC) and Healthcare Data standards (e.g. FHIR, HL7 v2.
$180,000 - $210,000 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Tech Stack: Snowflake, Databricks, OpenSearch, DBT, SQL, Python, GitHub/Gitlab, Airflow, Kafka. Experience with Snowflake and DBT. Hands-on experience in building and optimizing DBT core projects.
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Our main technology stack currently includes Redshift, Spark, AWS Glue, Databricks, dbt, Airflow, Looker, and Jupyter Notebooks. You have experience working in a fast paced startup environmentExperience with dbt or similar analytics workflow tools a big plusProven record of writing and optimizing code with high levels of craftsmanship, and coaching others to improve technical outputs.
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5+ yrs 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.
Full-timeRemoteExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Experience building efficient data pipelines using DBT, Airflow, or similar tools. Experience working with large data sets, mapping data sets with other joint tables, and running data queries and tables from Redshift into Looker.
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Lead architectural design sessions for the modern data stack, emphasizing solutions that seamlessly integrate Snowflake, Databricks, Airflow, dbt, Great Expectations, and AWS data services.
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Strong knowledge of SQL, Google Big Query, Python, and Airflow for workflow management. Experience with dbt or Google Dataform is a plus. Strong knowledge of SQL, Google Big Query, Python, and Airflow for workflow management.
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C, PL/SQL, NoSQL, T-SQL, Microsoft SQL Server, MySQL, Oracle, Cosmos DB, Azure Data Lake, Azure Synapse, Azure SQL DB, Event hub, data factory,dbt, Azure databricks, Azure Monitor service, Snowflake, Airflow, Microsoft Purview.
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Essential Experience & Job Requirements 5+ years of IT experience with major focus on data warehouse/database related projects Must have exposure to technologies such as dbt, Apache Airflow, Snowflake.
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Experience designing, building, and maintaining robust data pipelines (ETL/ELT) using technologies like Postgres, dbt, and Airflow. Experience designing, building, and maintaining robust data pipelines (ETL/ELT) using technologies like Postgres, dbt, and Airflow.
$110,000 - $137,000 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Direct working experience with Snowflake, Iceberg, Kafka, Flink, Airflow, and dbt preferred. Direct working experience with Snowflake, Iceberg, Kafka, Flink, Airflow, and dbt preferred.
$196,000 - $270,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Data Stack: Fivetran, Airbyte, dbt, BigQuery, Cube, PowerBI, ThoughtSpot PRIMARY RESPONSIBILITIES Collaborate with cross-functional teams to understand data requirements and objectives. Create and optimize SQL queries for data extraction and analysis, leveraging tools like dbt to build and document data transformations.
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Building a modern datastack, using tools such as dbt, Dagster, Airflow, Snowflake, et cetera. Building a modern datastack, using tools such as dbt, Dagster, Airflow, Snowflake, et cetera.
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Data Pipeline Design and Development: Design, develop, and maintain scalable and robust data pipelines using Python, Snowflake, and dbt, ensuring efficient data extraction, transformation, and loading processes.
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