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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. As a member of the Data Engineering Blockchain team, you own the ETL/ELT pipelines and data warehouse that are used to analyze trends and activity on the blockchain.
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What you’ll be responsible for:As a member of the Data Engineering - Business ETL team, you own the ETL/ELT pipelines and data warehouse that is used for financial and regulatory reporting.
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As a member of the Data Engineering - Business ETL team, you own the data warehouse and data pipelines that are used for financial and regulatory reporting. Continually improve the operations, monitoring and performance of the data warehouse.
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Designing, building and maintaining data ETL/ELT pipelines to source and aggregate the required data for various data analyses and reporting needs, as well as to continually improve the operations, monitoring and performance of the data warehouse.
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3+ years of experience in SQL, data transformations, statistical analysis, and troubleshooting across more than one Database Platform (Cassandra, MySQL, Snowflake, PostgreSQL, Redshift, Azure SQL Data Warehouse, Databricks, etc.
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At least 3 years of experience managing Cloud Data Warehouse database technologies, such as AWS Redshift, Snowflake, Databricks or similar. Design, configure, and manage Data Warehouse Database Systems on Cloud (AWS Redshift, EMR HBase and Snowflake.
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The Data Warehouse Manager will serve as the principal line of communication for the project team. Configure and administer data warehouse security settings. Design, develop, and implement a new Microsoft Structured Query Language (SQL) Server data warehouse, ensuring it meets the project requirements and aligns with the overall data strategy of the Department.
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Experience in Data Migration from RDBMS to Redshift/Snowflake cloud data warehouse. Provide direction on adoption of Cloud technologies (Redshift, Postgres, Snowflake,) and industry best practices in the field of data lakes and data warehouse architecture and modelling.
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You will be maintaining our existing Snowflake data warehouse and integrating new data sources as they become availableYou will own, maintain, and build on our Airflow task orchestration systemYou will design new data transforms using SQL/dbt that can be integrated into our Airflow pipelinesYou will work to build strong relationships with and support co-workers, including remote peers in other time zones.
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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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Experience implementing and maintaining data platform core services (data lake, data integration, data warehouse) and configuring and integrating infrastructure and PAAS (e.g., Azure Data factory, Informatica cloud services, Databricks, Data gateway and Qlik Sense, Power BI.
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The Department of Behavioral Health and Developmental Services (DBHDS) is seeking a Senior Data Warehouse Architect to join our team for a longterm project involving the implementation of a new Enterprise Data Warehouse (EDW) Software-as-a-Service (SaaS) solution and a new Data Governance SaaS platform.
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Responsibilities:Work as part of a team to develop Cloud Data and Analytics solutionsParticipate in development of cloud data warehouses, data as a service, business intelligence solutionsAbility to provide solutions that are forward-thinking in data and analytics'Deliver a quality product, Coding complex U-SQL, Spark (Scala or Python), T-SQLDeveloping Modern Data Warehouse solutions using zure Stack ( zure Data Lake, zure Data Factory, zure Databricks.
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Work with a team with respect to discovery, design and delivery of data models, data governance models, data migration plans, data warehouse design and reporting components of applications using GCP, Databricks and Microsoft tools.
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6+ years of experience in SQL, data transformations, statistical analysis, and troubleshooting across more than one Database Platform (Cassandra, MySQL, Snowflake, PostgreSQL, Redshift, Azure SQL Data Warehouse, Databricks, etc.
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data warehouse jobs Title: data scientist Company: Deloitte
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