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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 Web3 team, you own the ETL/ELT pipelines and data warehouse that are used to analyze trends and activity in our Web3 product offerings.
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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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Experience with data engineering tools such as Databricks, Spark, Elasticsearch, Airflow, or a data warehouse. participate in partnerships with data science leaders, like our partnership with NVIDIA to deliver Deep Learning Institute (DLI) training to the federal government.
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What you’ll bring to Circle:For Senior Data Engineer (III) 4+ years of professional data engineering experience. 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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ETL/Data integration/Streaming – Talend, DataBricks, Python, Spark, Kafka. Cloud Lake and Warehouse – Snowflake, S3 Data Lake, other comparable technologies. - Be an expert and drive architecture in one or more areas of data storage (Data Lakes and Warehouses), data integration, Business Intelligence and analytics.
$118,800 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Has experience in extracting from data warehouse applications [such as Oracle, Azure Databricks, and Epic] and will help enhance the data warehouse. Presents analysis, ideas, and findings using the appropriate data visualization and presentation tools [such as Word, Excel, Tableau, and PowerPoint.
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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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Strong computer literacy and proficiency in data manipulation using Analytics tools/platform like Databricks, Azure Fabric using Spark engine and reporting tools like Power BI. 5+ years of experience in Data engineering discipline implementing data lake, data warehouse, and Reporting & Analytics development (preferably on Azure) using Tools like Power BI or similar tool.
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Hands-on experience with Azure data services including Azure Data Factory, Azure Databricks, and Azure Synapse Analytics (formerly SQL Data Warehouse). Lead the migration of data from Azure Synapse to Databricks, ensuring data integrity, performance, and scalability.
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Databricks, Azure SQL Data Warehouse, Azure Synapse Analytics, and more to. Databricks, Azure SQL Data Warehouse, and Azure Synapse Analytics. Collectiv is the leading boutique consulting and strategy firm specializing in Analytics, Planning and AI with Power BI and the Microsoft Data Stack.
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Experience with data warehouse platforms (e.g. Redshift, BigQuery, Databricks, ) You will help develop and implement the next generation of our data pipeline to ensure visibility into our business as we scale toward the launch of an autonomous mobility service.
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Create a partnership with Data Engineering. Keep up with marketing trends in the Data & Analytics area and identify new opportunities of technologies & solutions; you will be part of the team driving the technology selection and partner with an engineering team to conduct proof of technologies.
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What you’ll be responsible for: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.
$147,500 - $195,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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3) Data warehouse design with slow changing dimensions, aggregation, partitioning, and indexing. 2) Developing ETL processes using Relational Databases (Azure Synapse, Oracle, Exadata, SQL Server, and Teradata), SQL, PLSQL, Shell Scripting, PySpark, and Databricks Notebooks.
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Strong proficiency in Microsoft Azure, including Azure Data Factory, Azure Databricks, Azure SQL Data Warehouse, and Azure Data Lake Storage. Design, develop, and maintain data pipelines and ETL processes on Azure using services such as Azure Data Factory, Azure Databricks, and Azure SQL Data Warehouse.
$120,000 - $160,000ExpandApply NowActive JobUpdated Today
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