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Other QualificationsFamiliarity with AWS IAM to develop secure solutions, specifically with resource access policies and IAM rolesFamiliarity with AWS infrastructure as code solutions, such as CDK or Cloud FormationExperience in the AEC industry, Autodesk products such as Revit, and AEC data schemas and standardsExperience with cloud-native capabilities, including data at scale, edge computing, and AI-based solutions.
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The Senior Data Engineer will support our data initiatives and will ensure an optimal data delivery architecture that is consistent throughout ongoing projects. 8+ years of experience in a Data Engineer role at a fast-paced organization.
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Lead Data Engineer is a staff member of Operational Data Solutions Delivery team. Minimum 5 years of experience with ETL/ELT design and development using tools like IICS, AWS Glue, Talend, Databricks, Oracle Data Integrator (ODI) or equivalent.
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Cloud Data Engineer - Onsite at Boston, MA. Deliver datasets from onboarding through mapping and automated DQ so they can be handed off to the Data Operations team for DQ maintenance and consumed by research teams and production.
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Join Takeda as a Lead Data Engineer RDBU where you will help shape and implement the vision across US stakeholders leveraging innovative data, digital, and technology solutions to support the Rare Disease Business Unit. Guided by modern, cloud-based technologies and applying best practices, they will closely collaborate with the DD&T and the RDBU I&A teams to deliver and maintain effective solutions and help drive adoption.
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We are looking for a Senior Lead Data Engineer to help drive delivery of exciting new capabilities in the data engineering space across several teams to support our mission. As a Capital One Senior Lead Data Engineer , you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.
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The VP, Engineering will lead scaling the global data and software engineering teams in managing the foundational enterprise data platform and creating tools and frameworks that enhance data collection and processing, analytics and artificial intelligence, data dissemination, and governance.
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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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Deep domain experience with financial datasets including FactSet, Bloomberg, IBES, CompStat, S&P Global, Worldscope, Morningstar, MSCI, Reuters, IDC, Markit, BARRA, Axioma, Northfield, and PORT A proven track record of working with complex data environments and associated technology and analytics infrastructure needed to support these environments.
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You will collaborate with analytic partners and business partners from product strategy, program management, IT, data strategy, and predictive analytics teams to develop effective solutions. GCP Cloud Architect Or GCP Data engineering certification.
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Job DescriptionWe are looking for a Data Scientist to join our Risk Data Science and Analytics Team. You will improve our risk controls through advanced statistical and analytical techniques.
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Data: Good understanding of data & data processing tools (e.g. Spark, Kafka, SQL), of relational database technologies and of analytics databases (e.g. Redshift, Vertica, Snowflake.
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Demonstrated Expertise (“DE”) analyzing, evaluating, and creating data objects for the data models in Oracle SQL, MySQL, PostgreSQL, and Snowflake by transforming the raw data into clean object; performing data wrangling and data visualization using BI tools.
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Memfault is seeking a Senior Backend Systems/Data Engineer to design, build, and scale our web services and data pipelines. We do everything from SDKs for microcontrollers, to large-scale data processing in the backend, to complex custom charting in the frontend.
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At the MBTA, we envision a thriving region enabled by a best-in-class transit system.
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Title: data engineer Company: Autodesk in Boston, Mills, Wyoming
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