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Principal Data Engineering & Analytics & AI Hitec Manufacturing, Telco/Media. As a Data Engineering & Analytics practice lead you will be responsible for growth, business development and providing advisory and thought leadership on the provision of analytics environments leveraging Cloud based platforms, big data technologies, including integration with existing data and analytics platforms and tools.
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You work independently and have frequent reviews with business leadership, other Principal Engineers and Sr Engineers across AWS.•You understand which architectural escalations to resolve independently, and actively facilitate the escalation of high-impact issues to senior engineering and business leadership.
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Role: As a Senior Data Engineer, you will develop and implement robust data engineering solutions to support our organization's data-driven initiatives. Minimum 5+ years of hands-on experience in data engineering Expertise in building data pipelines and ETL processes using DataBricks, dbt, and Python Extensive experience with PurView a plus.
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Or, alternatively, Master’s degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, InformationManagement, Business Administration, or a closely related field and four (4) years of experience as a Director, Software Engineer (or closely related occupation) leading a team ofengineers in the design and implementation of Content Management Systems (CMS.
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In-depth and applied knowledge of data engineering tools and techniques, including ML Ops, Databricks and/or Snowflake, AWS, DBT, AI/GenAI Data Pipelines, Data Automation, Python, Model Monitoring, and Alerting.
$199 - $319Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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KEY QUALIFICATIONS: Python, SQL Data processing, ML experience Data Warehouse knowledge ETL pipeline knowledge Data Engineering Data Science Data Analytics, Data Mining PLEASE HAVE KNOWLEDGE OF ONE OR MORE OF THE FOLLOWING TECHNICAL SKILLS: Kubernetes, Tableau, PowerBi MongoDB Microsoft Cloud Services like Azure and AKS Snowflake SQL Server data platform Software development (including design, implementation, testing, and change management.
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In this role, you will: Manage and lead architecture and engineering team to deliver an optimized productivity platform and exceptional digital experience (Desktop/laptop hardware configuration, OS platform upgrades, productivity software solutions, end-user management, client software deployment, antivirus systems, and imaging design and engineering.
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Position Summary Senior Manager Desktop Architecture/Engineering (Policy, Controls, In Tune & Custom Platforms) Deloitte Technology works at the forefront of technological development and processes to support and protect Deloitte around the world.
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Minimum 2 years of management and leadership experience Knowledge of Windows workstation platforms, Azure AD, Intune/Modern Management, GPO, Microsoft o365, Microsoft Endpoint Configuration Manager (formerly SCCM) Limited immigration sponsorship may be available Preferred Technical skills: Data Science / Analytics using a multitude of data sources.
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1+ year of experience in data engineering using open-source technology stack along with cloud computing (AWS, Microsoft Azure, Google Cloud) Data Engineering experience focused on batch and streaming data pipelines development, Data processing/data transformation using ETL tools.
$72,000 - $185,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Our data scientists work closely everyday with project managers, subject matter experts and software engineers to work on challenges in machine intelligence, data mining, and machine learning, and work together with agility to build capabilities that impress our customers.
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Design, develop, and maintain data infrastructure software using Python and Go (familiarity with GraphQL a plus)Implement and manage DevOps processes for Data Engineering toolsUse Docker and Kubernetes to build and deploy containerized applications.
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Who you are - AVP, Data Engineering. At least 5 years of combined hands-on professional experience with either traditional RDBMS (MSSQL, Oracle) or cloud-based data warehousing platforms (Snowflake, AzureSQL/Synapse, Redshift, BigQuery) including expertise with architectural elements such as keys, constraints, and clustering.
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Lincoln is recognized as the Welding Expert™ for its leading materials science, software development, automation engineering, and application expertise, which advance customers' fabrication capabilities to help them build a better world.
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Make decisions in complex and multi-faceted data engineering situations requiring understanding of software package options and programming language and compliance requirements that influence and lead Technology to meet deliverables and drive organizational change.
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data engineering jobs Title: senior software engineer linux in Greenland, Kansas
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