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Understanding of data warehousing technologies such as Azure SQL Data Warehouse, Snowflake, BigQuery, or Redshift. o Azure - Azure Databricks, Azure Data Lake, Event Hubs, SQL Data Warehouse, Azure Data Factory.
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Collaborate with the Finance or MP&L Application owners and the Ingestion team to “Land” and “Transform” the data in the Data warehouse on GCP BigQuery. Create data warehouse objects of raw data, and Analytical Model objects which are data products of customized data environments in GCP BigQuery (Data Warehouse), crafted to facilitate access of the information, with the goal of supporting scalable growth, sustainability, reusability, faster analytical solutioning and to accelerate delivery of business value.
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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 - Business ETL team, you own the data warehouse and data pipelines that are used for financial and regulatory reporting.
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Continually improve the operations, monitoring and performance of the data warehouse. 4+ years of professional data engineering experience. Being a domain expert on data modeling, data pipelines, data quality and data warehousing of financial data.
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Experience in building scalable infrastructure to support batch, micro-batch or stream data processing for large volumes of data. Designing, building and maintaining data ETL/ELT pipelines to source and aggregate the required data for various data analyses and reporting needs.
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Collaborate with the Finance or MP&L Application owners and the Ingestion team to Land and Transform the data in the Data warehouse on Google Cloud Platform BigQuery. Create data warehouse objects of raw data, and Analytical Model objects which are data products of customized data environments in Google Cloud Platform BigQuery (Data Warehouse), crafted to facilitate access of the information, with the goal of supporting scalable growth, sustainability, reusability, faster analytical solutioning and to accelerate delivery of business value.
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Internal knowledge of open source or related big data technologies. Circle is a financial technology company at the epicenter of the emerging internet of money, where value can finally travel like other digital data — globally, nearly instantly and less expensively than legacy settlement systems.
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For Senior Data Engineer (III) Collaborating on the design, deployment and continuous improvement of a scalable data platform that ingests, stores, and aggregates various datasets. Re-thinking how data is stored and processed today, within data platforms and outside among Circle business teams and external applications.
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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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In this role, you will be responsible for designing, implementing, and maintaining a robust Data Warehouse on the Google Cloud Platform (GCP) with a primary focus on Google BigQuery. LevelTen Energy is seeking an experienced Data Warehouse Engineer to join our dynamic team.
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Experience with cloud computing platforms and data warehouse solutions such as AWS, Azure, Snowflake, and Microsoft SQL Server. + Experience working with data visualization tools such as Tableau, Looker, or PowerBI.
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Direct hands on experience with highly scalable data pipelines using BigData technologies (Spark, Hive, Airflow, DBT, Parquet / ORC, Kafka / Streaming, etc) Database / Warehouse: PostgreSQL, DynamoDB, Databricks Unity Catalog.
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Must have recent work experience with BigQuery or one of the following Snowflake, Redshift, Azure SQL data warehouse or Vertica. 5 years of recent cloud DataOps experience, including proficiency with data warehouse technologies, preferably with BigQuery experience or one of the following Snowflake, Redshift, Azure SQL data warehouse or Vertica.
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Experience with databases and connectors like Microsoft SQL, MySQL, Snowflake, Azure data warehousing, AWS data warehousing, Databricks, any other vendor specific data warehouse/lakehouse.
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The primary focus for this role will be a green fields development of a modern data platform spanning source ERPs & CRMs, the Enterprise Data Hub (Lake & Warehouse), Data Governance & Master Data Management, and Reporting & Analytics certified datasets.
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data warehouse jobs Title: data scientist Company: Verizon Wireless
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