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Day to Day Responsibilities: Lead an offshore team in support of the data processing for a large Microsoft Azure EDL Tier 1 organization. Experience with Microsoft Azure platform technologies like Databricks applications, Event Hub, Data Factory, Scala, Azure App Insights, Synapse Analytics, Delta Lake, Cosmos DB, or DevOps Knowledge of Data Product Hygiene and be able to champion this in your work.
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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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This role is W ONLY (NO CC per client requirements)MUST HAVE:-+ years of experience as a Business/Data Analyst working in Data Warehouse, Master Data Management-Strong SQL -Tableau OR Power BI-Data Governance -Knowledge of Government/Public Sector/Education organizations, hierarchies and structure is a BIG PLUS Responsibilities :The firm has an exciting career opportunities for a Data Analyst within the Data Strategy and Enablement group.
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Assist in establishing project plans across Business Intelligence, Data Science, Product Development, and Software Development teams to ensure client outcomes are met in a timely and consistent manner.
$90,000 - $120,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Strong technical proficiency to contribute to data engineering task in an AWS and Databricks ecosystem. You must be passionate about data management with a solid background in AWS, Databricks, Python, Trino/Starburst, Databases and SQL.Design, develop, monitor, and maintain data pipelines in an AWS Gov Cloud ecosystem with AWS, Databricks, Delta Lake and Trino as the underlying platforms.
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Your expertise in ETL, DataBricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupiter Notebooks will be essential in ensuring efficient data processing and analysis. Job Responsibilities:- Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as DataBricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
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Análisis, diseño y desarrollo de modelos de datos corporativos (Data Lake / Data warehouse) en tecnología GCP (Bigquery / Dataflow/ Kubernetes / Composer)Requisitos:● Experiencia como líder técnico.
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Lead the evaluation and selection of appropriate data management tools and technologies. Design, develop, and implement data architecture solutions using SQL Server, Microsoft Azure, Snowflake, and Databricks.
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Empresa global de capital privado especializada en outsourcing de innovación, dedicada a la prestación de servicios de desarrollo y diseño de software, modernización de aplicaciones, RPA, machine learning y Big Data, entre otros.
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Requires a minimum of a bachelor's or foreign equivalent degree in Management Information Systems, Computer Science and Engineering, or a related field plus 4 years of experience as a software developer, data engineer, or related occupation.
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Lead Data Engineer is responsible for managing and organizing enterprise data and overseeing the technical output of a team of data engineers. Lead Data Engineers will support other Data Engineers, Data Architects, and Data Analysts on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects.
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Requirements: Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field (or equivalent experience). Application:If you are a skilled data science professional looking to contribute to national defense and work in a challenging and rewarding environment, we encourage you to apply.
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Lead platform evaluation and hands-on build-out of data infrastructure on cloud technologies. Lead the review and design of new data products, maintaining product documentation.
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Reporting to the Data Management Director, US Region; the Data Operations Lead is a key member of the team. Lead a small team on day to day operations for Data Quality, data bug investigations, and source to target reconciliation.
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The Principal Architect provides the global vision, rationale, and recommendations to leadership teams for challenging technical issues related to data center architectural design, while working on continually improvement of data center designs.
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data job Title: data science lead Company: Joveo Us
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