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Experience in optimizing data models and access patterns for modern warehouse and orchestration platforms such as Snowflake, Redshift, Databricks, Spark, DBT, Apache Airflow, and Prefect.
Full-timeRemoteExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Familiarity with data warehouse products in a cloud environment such as Google BigQuery, Redshift, Snowflake, etc. Mentorship: You will have the exceptional chance to work closely with Statistician/Data Scientist Daniel Jeske, the current Vice Provost of Academic Personnel and a professor of statistics since 2007.
ExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Maintain and optimize our data warehouse and ETL pipelines to ensure data quality and availability (we use Airbyte and BigQuery) This is an exciting opportunity to be the first Data Scientist at a rapidly scaling company and work closely with our CTO and VP of Product.
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This role will create analytical models and datasets while working with a Data Engineer to develop code for extracting data from source systems, which will include the Relational Enterprise Data Warehouse, Operational Data Store, and Azure Data Lake Store.
Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Must have experience with Oracle suite of Cloud products and services including Oracle DB, Oracle Autonomous Data Warehouse (ADW), Oracle Analytics Cloud(OAC), and Oracle Data Science Services.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Experience with Data Movement Technologies and Cloud Data Warehouse technologies including but not limited to experience with GCP, Big Query, Google Cloud Storage, is preferred. Understanding of cloud data engineering and integration concepts.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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The Data Scientist will be responsible for developing analytic datasets from administrative healthcare databases, such as Optum Clinformatics, the Veterans Health Affairs Clinical Data Warehouse, and UPMC. This includes translating written research protocols to computer programming code, implementing the code, and conducting data quality assurance checks to verify the research protocols were applied correctly.
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Understanding of enterprise data management concepts (Data Governance, Data Engineering, Data Science, Data Lake, Data Warehouse, Data Sharing, Data Applications.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Hand-on knowledge of ETL and data warehouse technologies (i.e. dbt, Databricks, BigQuery, Redshift, Airflow, Snowflake) Strong SQL and data modeling skills, with experience applying skills to thoughtfully create data models in a warehouse environment.
Full-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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We are integrating the test results from our national oncology testing business into an enterprise data warehouse to enable a variety of data mining applications. We have an excellent opportunity for a highly motivated data/curation scientist within our new Oncology Data Improvement group.
Full-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Requires two (2) years of experience in each of the following: JIRA; Python, Hadoop and Hive; machine learning, statistical analysis and predictive modeling; SQL programming languages; Visualization tools, including PowerBI and Tableau; Big data platforms including Hadoop (Azure, GCP, or AWS); traditional relational data warehouse technologies: Oracle, Teradata, or DB2; PySpark; and HDFS commands.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Deep understanding of common database technologies, such as SQL Database/Server, SQL Data Warehouse, Oracle, DB2, Netezza, MySQL, and other data sources, such as Azure Data Lake Storage and Azure Blob Storage.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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The company specializes in Business and Management Consulting, AI/ML, Data Analytics & Visualization, Cloud Data Warehouse Migration, Snowflake Implementation, Informatica Implementation & Upgrade, Staffing Services and Data Management Solutions.
ExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Primary responsibilities will include analysis in our many data sources (Enterprise Data Warehouse, Snowflake, Informatica, MSFT Dynamics, Big Data, Google BigQuery, Adobe Experience Platform) to build recommendation and propensity models as well as working with Data Engineering to identify, clean and integrate data into destination stores.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Familiarity with all, and expert in some of the below: Databricks or Spark, MPP databases, ETL, data warehouse design, feature store design, monitoring tools. As we develop an enterprise-wide data and digital strategy that moves us toward greater focus on the use of data and strengthen our digital, AI capabilities, we are seeking a Principal Scientist for Data Platform Optimization.
ExpandApply NowActive JobUpdated 11 days ago
data warehouse jobs Title: data scientist
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