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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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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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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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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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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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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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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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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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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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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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Working closely across groups, such as the product, engineering, data science, and external partners for data modeling, general management of data life cycle, data governance and processes for meeting regulatory and legal requirements.
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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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Deep understanding/experience with:Data warehouse architecture and designIntegration of the data stack to other tools/servicesExtensive knowledge with implementing data quality checksAdditional Information:This position is eligible for day-one PERM sponsorship for qualified candidates.
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Being a domain expert on data modeling, data pipelines, data quality and data warehousing. 4+ years of professional data engineering experience. Experience in building scalable infrastructure to support batch, micro-batch or stream data processing for large volumes of data.
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In this role, you will work as part of a team to understand patterns of data as they apply to MUSO Banking products, develop mapping specifications for use by developers, and execute test plans to identify inconsistencies between our source systems and target warehouse objects.
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