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The GPS AI & Data Engineering offering is responsible for developing advanced analytics products and applying data visualization and statistical programming tools to enterprise data in order to advance and enable the key mission outcomes for our clients.
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Preferred Background:Experience (3-4+ years working experience) with data governance, constructs including technical and business metadata; Understanding of structured and semi-structured data, data quality knowledgeStrong ability to drive connections with a wide variety of data platforms including AWS (Databricks, Teradata, Snowflake, Kafka), Azure, DB2 and SQL Server, etc.
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QTS Data Centers is a Blackstone REIT Portfolio companyQTS Data Centers is seeking a DCIM Engineer II / Controls Engineer II (Senior Data Center Infrastructure Management (DCIM) Engineer) to be based at one of our brand new mega data center campuses in the US. Quality Technology Services (QTS) is a leading provider of data center solutions across a diverse footprint spanning more than 9 million square feet of QTS Mega Data Centers throughout North America and Europe.
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You care deeply about the quality of your work and our data. 4+ years of professional experience as a data scientist in the SaaS industryWorking knowledge of Unix command-line/shell and gitExperience deploying models in a production environment, ideally with Databricks.
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Responsibilities: Day to Day Responsibilities:- Real Time Bidding model serving SME.- Internal Tooling SME- Modernizing our CI/CD and IaC deployment and testing procedures- Designing a data pipeline orchestration system- Implementing Snowflake Data Cleanrooms Infrastructure for easy use of our Analysts.
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The Modeling and Simulation Data Scientist will support the Combination Product Operations organization by improving the way. " Partner with multi-discipline digital teams (data analysts, data engineers, data scientists, and business product owners) to advance data analytics tools/features (such as predictive/ prescriptive algorithms and machine learning.
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We are currently seeking a Data Technical Lead (Apache Spark, Pyspark and Databricks) to join our team in Dallas , Texas (US-TX) , United States (US). Proven experience as a Technical Lead with a focus on Databricks and big data technologies on Azure Cloud Platform.
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Hands on experience of building data pipelines using Apache Spark (Azure Databricks), Scala. Job profile : Data Engineer experience on Spark with Scala / Azure Databricks. Hands on experience in designing and delivering solutions using the Azure Data Analytics platform including Azure Storage, Azure SQL Data Warehouse, Azure Data Lake.
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Institutional Research focuses on providing decision support in areas related to planning, policy development, and institutional effectiveness, among other and generally addresses mandated reporting, data and research requests, and external surveys.
$68,376 - $123,708 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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OBJECTIVES OF ENGAGEMENTThe Enterprise Data Manager (EDM) leads the Department of Health’s core data governance team who understands core governance principles, concepts of data lineage, and the data interdependencies across programs and systems to drive standards and consistency.
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Manager, Data Science. The Data Science team at DTC combines deep data analysis and research of our rich user data to present a compelling vision around user retention and preferences across the vast ecosystem of our product offerings and content.
$149,300 - $200,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Collaborate with data engineering team on best practices, infrastructure optimization, performance and cost optimization, pipeline monitoring, tool and library evaluation, quality assurance, and documentation.
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Experience building and managing production-grade data pipelines using tools such as Airflow, dbt, DataHub, MLFlow. You'll be part of a close-knit team of data engineers developing and maintaining a data platform built with automation and self-service in mind to support analytics and machine learning data products for the next generation of our T3 Fleet that enable end-users to track, monitor and manage the health of their connected vehicles and deployed assets.
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Responsible for assisting the Lead Data Scientist and the data science team with building solution accelerators, pipeline development, and building integrations with our LLM Products on the Databricks platform.
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Must have at least 1-3 years of experience as a Data Technician, Database Developer, or ETL Analysis. Under the direction of the Director of Technology, the Data Analyst is responsible for day-to-day operational support, including but not limited to Electronic Data Interchange (EDI) management, developing, and maintaining the company’s information processing systems by researching, designing, and testing data management software to ensure it meets business requirements and industry standards.
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data job Title: quality manager Company: Randstad
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