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Relevant certifications (e.g., Snowflake, Databricks, Certified Analytics Professional, AWS Certified Big Data - Specialty) are a plus. Proficiency in data analytics tools and technologies, such as Python, R, SQL, and cloud platforms (e.g., AWS, Azure.
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Data & Analytics Engineer. Design and develop end-to-end analytics solutions using Microsoft Azure technologies, including SQL Server Management Studio (SSMS)/ Azure Data Studio, Azure Data Factory (ADF), Databricks, and Power BI.
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Certification in cloud platforms (e.g., AWS Certified Solutions Architect, Google Professional Data Engineer). We are looking for a proficient Software/Data Engineer specializing in Directed Acyclic Graphs (DAGs) and dependency graph orchestration.
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Cerberus Technology Solutions (CTS) is a subsidiary of CCM focused exclusively on leveraging emerging technology, data, and advanced analytics to drive transformations. As an Data Engineer Vice President in our Data and AI team , you will contribute to the firm’s objectives by delivering rapid and scalable solutions that unlock value for Cerberus desks, portfolio companies, or other businesses/investments.
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Azure Data Architect – Remote Contract. Extensive experience as an Azure data architect, with a strong background in Azure data Lake, SQL, Databricks, and PowerShell Scripting. This role will be pivotal in driving their migration to Azure, leveraging your expertise in Azure Data Lake, SQL, Databricks, and PowerShell Scripting.
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Preferred Qualifications:Professional certifications in cloud computing (e.g., AWS Certified Solutions Architect, Microsoft Certified Azure Solutions Architect, Azure Data Engineer, SnowPro Core) and/or big data technologies.
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AWS Certified Data Analytics – Specialty or AWS Certified Solutions Architect. Role: AWS Data Engineer. Utilize AWS services such as Kinesis, S3, Glue, Redshift, and RDS SQL Server for data processing and storage.
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They also work with the DCAS Data Research, Analytics, and Management team to establish procedures for detection and correction of data-quality issues and collaborate to establish policies, procedures, and internal controls affecting the quality of data.
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Job Description: We're seeking a proactive and highly skilled Data Analyst with a background in Computer Science, Data Engineering, or a related field, coupled with expertise in Google Cloud Platform (GCP) and Amazon Web Services (AWS.
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Experience working with cloud or on-prem Big Data/MPP analytics platform (i.e. SnowFlake,Netezza, Teradata, AWS Redshift, Google BigQuery, Azure Data Warehouse, or similar). Sia Partners is looking for a talented Data Engineer to support our activities within the Data Science Business Unit. You will be working alongside with our Data Science consultants and our clients on Data Engineering topics, including creating relevant data models, developing powerful data pipelines, exposing them through various mechanisms including APIs, and using data visualization tools to efficiently present data.
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The Sr. Data Engineer is responsible in understanding and supporting the businesses through the design, development, and execution of Extract, Transform, and Load (ELT/ETL), data integration, and data analytics processes across the enterprise.
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Job Title: Actimize SAM - Data Analytics Manager – VP Level. · Apply data from BSA/AML Compliance Department stakeholders to translate qualitative risk factors into responsive risk models that leverage new technology.
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As a member of the Core Data team you will establish the foundational set of data pipelines and datasets which are a vital key to success enabling dozens of engineering and analytical teams to unlock the power of data to drive key business decisions and provide engineering, analytics, and operational teams the critical information necessary to scale the largest streaming service.
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This Engineer will have a strong Microsoft and Azure data background, defining high volume data processing pipelines in a multi-tenant environment, verifying data integrity and curating data for consumption by data warehouse, third-party data analytics tools and machine learning models.
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As a Senior Data Engineer, you will partner with talented architects, infrastructure engineers, machine learning engineers, data scientists and data analysts to improve may different products and services.
$105,100 - $156,500 a yearFull-timeExpandApply NowActive JobUpdated Today
data job Title: analytics engineer Company: Abbvie in Holdrege, Nebraska
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