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As a data engineer on the data platform team, you will be supporting and enhancing the platform that supports HealthVerity's Petabyte-scale core data asset. Engineer efficient, adaptable and scalable data pipelines to process structured and unstructured data.
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The Asset Management Quant Research Engineering team is looking for a Principal Data Engineer who wishes to take on the challenge of building a world-class data operation. 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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The Finance Platform Developer role partners with the Actuary team, IT data team and primary vendor to provide data development, support, and administration for the Actuarial Modeling/Data Management Platform.
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The EDC Engineer will work with Data Management and Standards teams to implement new processes as well as enhance existing processes for efficiencies and compliance with Takeda Clinical trial builds.
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Or, alternatively, Master’s degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and one (1) year of experience as a Senior Data Engineer (or closely related occupation) designing, developing, testing, and implementing Snow Scripts and Snowflake Tasks to enterprise analytics data lake platform.
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Principal Data Engineer. 4+ years using cloud-based warehouse/data lake (Preferably in Azure Databricks metastores/catalogs or similar stacks such as AWS Athena/Redshift, GCP Bigquery, Azure ADLS, etc.
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Our Data & Analytics teams specialize in the delivery of a next generation data platform, information driven reporting solutions, and works to align technology solutions with business objectives.
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This entails designing and implementing a sophisticated data governance framework spanning across capabilities and tools such as data quality checks, defining/tracking KPI’s, data lineage and data structure and organization (e.g. organized data hierarchies, well-maintained data dictionary and report catalogue, as well as data and report certification.
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Delivery experience in Data Engineering with Google Cloud Platform including Big Query, Dataflow, Cloud Data Fusion, Cloud Composer, Dataproc, Cloud Pubsub, Cloud Function etc. + Propose, own initiatives and demonstrate though leadership that improve the efficiency and productivity of the data science Center of Excellence.
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Use client data and industry losses to perform model validation processes that enhance KCC's latest catastrophe models. Bachelor's or Master's STEM degree - computer science, data science, economics, mathematics, actuarial sciences, engineering, or physics preferred.
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Specialty Business Solutions — provides an integrated suite of software for full end-to-end management of insurance and reinsurance business, helping companies manage their businesses through efficiency, flexibility, and data governance.
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Job Description We 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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They are currently seeking an experienced Hardware Design Engineer to join their dynamic team on a 6-12 month contract basis in Boston. Role: Hardware Design Engineer. Proficiency in schematic capture and PCB layout design using tools such as Altium Designer, Cadence Allegro, or similar.
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As a Manufacturing Quality Engineer, you will make an impact on product quality and manufacturing. Knowledge and Experience in PCBA design and manufacturing: DFM/DFA/DFT, Failure analysis, ICT and FCT, IPC-610.
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We’re looking for a high-performing software engineer to join the engineering team of our central data platform , named Codex. We use Kafka for data pipelines, Apache Beam for ETL, Bitbucket for source control, Jenkins for continuous integration, Grafana + Prometheus for metrics collection, ELK for log shipping and monitoring, Docker for containerisation, Kubernetes for container orchestration, OpenStack for our private cloud, Ansible for architecture automation, and Slack for internal communication.
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Title: data engineer Company: Mercury Data Science in Boston, MA
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