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Experience with any of the following: Data Architecture, Elastic Search, DBT, Airflow, Palantir Foundry, Data Quality tools, Collibra, MDM, Informatica, Spark, Snowflake, Teradata, SAP Business Warehouse, Business Objects Suite, Tableau, SAS Enterprise Miner, and other database and BI technologies, open-source Hadoop, and related technologies, data access languages such as SQL, SAS, R, Python, Scala, etc.
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Experience with analytics and data management principles such as: data acquisition and modeling, data warehousing, business intelligence, metadata management, master data management, advanced analytics and data science, “big data” techniques, public/hybrid/private cloud data management and analytics services data security, and data and analytics governance.
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Collaborates with IT resources on the creation and maintenance of the content of the data warehouse, establishes and maintains strong knowledge of data warehouse data structure design, definitions, capabilities, SQL, and data integrity issues, completes metadata assessment and reviews feedback to determine changes, ensures that data definitions are clear and current, and communicates changes to data definitions to all users.
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Requires Bachelor's degree in related field and a minimum of 2 years experience in data analysis, data modeling, and working with automated data warehouse systems; or any combination of education and experience which would provide an equivalent background.
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5+ years experience performing data warehouse architecture development and management across one or more data warehouse solutions including BigQuery, Synapse, Teradata, Vertica, or Snowflake.
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Establishes and maintains excellent knowledge of data warehouse data structure design, definitions, capabilities, programming languages, and data integrity issues. Requires BA/BS in related field and a minimum of 6 years experience in data analysis, data modeling, and working with automated data warehouse systems; or any combination of education and experience which would provide an equivalent background.
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Understanding and experience with modern cloud data warehouse and engineering for one or more of the following cloud providers Azure (Synapse, Dynamo, Cosmos, Azure ML, Power BI), AWS (Redshift, Sagemaker), GCP (BigQuery, Vertex, Cognitive Services), Snowflake, Tableau.
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Experience with any of the following: Data Architecture, Elastic Search, DBT, AirHow, Palantir Foundry, Data Quality tools, Collibra, MOM, Informatica, Spark, Snowflake, Teradata, SAP Business Warehouse, Business Objects Suite, Tableau, SAS Enterprise Miner, and other database and BL technologies, open-source Hadoop, and related technologies, data access languages such as SQL, SAS, R, Python, Scala, etc.
$200,000 - $255,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Collaborates with IT resources on the creation and maintenance of the content of the data warehouse, establishes and maintains general knowledge of data warehouse data structure design, definitions, capabilities, SQL, and data integrity issues, completes metadata assessment and reviews feedback to determine changes, ensures that data definitions are clear and current, and communicates changes to data definitions to all users.
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Uses Informatica to transfer data within the data warehouse and to external systems. Participates in extracting, transforming, and loading of data from various source systems into a data warehouse.
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Knowledge of Data Warehouse technology (Unix/Teradata/Ab Initio/Python/Spark/Snowflake/No SQL) Experience in migrating ETL processes (not just data) from relational warehouse Databases to AWS based solutions.
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Minimum 15 years of experience in technical role delivering Database, Data Warehouse, or Data Engineering implementations. Extensive knowledge of and experience with large-scale database technology (e.g. Databricks, Spark, Netezza, Oracle Exadata, Teradata, Greenplum, Google BigQuery, Amazon Redshift, Microsoft Synapse, etc.
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Manage batch job migration and conversion activities for the State of Michigan Health Services Data Warehouse and participating systems/users. This candidate will be part of a 40+ person team made up of Project Managers, Teradata and Web Developers, Data Modelers, DBAs, Business Analysts and Report Analysts.
RemoteExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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What youll do:You will be a Sr. Data Engineer in a horizontal Dev Engineering team that includes onshore and offshore developers using best-in-class Google Cloud, Big Data, and relational Data warehouse technologies, including Informatica Big Query, IICS, Talend, Teradata, Python, etc.
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Is required Working knowledge of test planning, test data management, automated & manual test execution, and test management tools to support complex data and cloud landscape Working knowledge with Oracle, Teradata, SQL Server, ETL tools and data warehouse architectures highly preferred Working knowledge of QA methodologies, life cycle and processes Experience in Maintaining and Managing Test Environments for Integration and End to End testing.
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