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Strong proficiency with data warehousing tools (Snowflake, SQL Server, Google BigQuery). Build advanced curriculum and teach workshops for researchers on sustainable software and data management practices that preserve the reproducibility of their research domain.
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Expertise in data management standard methodologies such as data integration, data security, data warehousing, data analytics, metadata management and data quality.
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Partner with stakeholders to drive data needs across: analytics, machine learning, data science, and master data management. Solid understanding of architectural design patterns and strategies with cloud-based data architecture, data lakes, data lakehouse, data mesh and data warehousing.
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A solid understanding and experience of the principles and operations of high volume, variety and velocity business intelligence, data warehousing, reporting and analytics platforms with a proven background and record in architecture and implementation of applications, integrating with OLTP and 3rd party systems.
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The Data Engineering team is looking for a highly motivated Principal Data Pipeline Engineer to evolve our modern data warehousing platform to world-class levels! Build robust and scalable data integration (ETL/ELT) pipelines using Python, SQL and Airflow.
Full-timeExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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The Data Engineer is responsible for the development and support of our enterprise data and analytics tools spanning data warehousing, integrations, master data management, business intelligence, data modeling and data science.
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Working knowledge of data modeling, data warehousing, and ability to access relational and multi-dimensional databases (e.g. SQL, Snowflake, Callibra, Databricks) 7+ years of combined experience in hands-on analytics work, including relational database structures, data wrangling, common coding languages, and analytical and data visualization tools (e.g. SQL, Python, R; ggplot, PowerBI, Tableau), including at scale.
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In-depth knowledge of cloud computing platforms, business intelligence tools, data warehousing, and data visualization. Partner with a cross functional leadership team to evolve and maintain data governance practices and continuous improvement initiatives to ensure data standards, data quality controls, and data management processes.
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We bring functional expertise, data driven insights, and deep industry experience within the consumer products, industrials, and life science sections to solve their complex issues in demand planning and procurement, supply planning, manufacturing and warehousing operations, inventory and product portfolio strategy, and logistics.
$112,100 - $238,700 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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In this leadership role you will drive innovation in the Data Strategy space for the Workplace Investing (WI) division of Fidelity Investment. Ability to formulate data strategy, conceptual architecture and work with development teams to execute the strategy.
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Experience with data processing concepts such as Change Data Capture, Eventing, and Streaming technologies. You will work with WI Architects to formulate the strategy and adoption of emerging data technologies to help the modernization of legacy mainframe applications along with many other innovative.
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Strong understanding of cloud concepts, specifically transactional resiliency, scalability, and performance from a data/database perspective. Demonstrated experience developing enterprise applications and data solution in the cloud – Azure/AWS.
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Data engineering experience, specifically with data modeling, warehousing and building ETL pipelines. Familiarity with data processing tools like Hadoop, Spark, Kafka, and Flink.
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Experience in management of commercial technology deployment, particularly commercial data warehousing, marketing automation, content management, and CRM. Vertex's Data, Technology and Engineering (DTE) team is seeking a Director, Commercial Technology Portfolio Management to join our Project Management and Strategic Operations group.
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Overall 8+ years of experience in technical leadership in Business Technology and Business Intelligence/Data Warehousing/Big Data / Cloud technology areas. Director/Senior Director - Data-warehouse, Delivery Management (708.
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data management warehousing jobs in Boston, MA
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