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Global Channel Management
Iselin, NJ, United States
Data Cloud Engineer needs 3+ years of relevant experience in major projects on Data and Cloud Solutions., Cloud Infrastructure, automated operation, ServiceNow integration. Data Cloud Engineer requires: Broomfield, CO, Iselin, NJ, Charlotte, NJ AWS, Database ; any Database - Oracle/SQL/Mongo DB/hadoop Experience with Automation development tools
Job Source: Global Channel ManagementLeidos
, United States
Description Looking for an opportunity to make an impact? Leidos is seeking a seeking a customer experience focused Microsoft Azure Cloud Data Engineer to work with a team of subject matter experts and developers to design and implement full lifecycle data pipeline services for Azure cloud based data lake, SQL, and NoSQL data stores. As a
Job Source: LeidosPenn Foster
Jersey City, NJ, United States
Company Description We help the world see new possibilities and inspire change for better tomorrows. Our analytic solutions bridge content, data, and analytics to help business, people, and society become stronger, more resilient, and sustainable. Job Description We are looking for a Cloud Data Engineer, who will be responsible to plan, design, de
Job Source: Penn FosterGlobal Channel Management, Inc
Little Ferry, NJ, United States
Data Cloud Engineer needs 3+ years of relevant experience in major projects on Data and Cloud Solutions., Cloud Infrastructure, automated operation, ServiceNow integration. Data Cloud Engineer requires: Broomfield, CO, Iselin, NJ, Charlotte, NJ AWS, Database ; any Database - Oracle/SQL/Mongo DB/hadoop Experience with Automation development too
Job Source: Global Channel Management, IncLindblad Expeditions
New York, NY, United States
WHO WE ARE Lindblad Expeditions is the pioneer in the Expedition Travel space, from taking the first citizen explorers to Antarctica in 1966, to opening the Galapagos and Easter Island to tourism in 1967, to leading the first tourist expedition through the Northwest Passage in 1984, to launching our innovative partnership with National Geographic i
Job Source: Lindblad ExpeditionsApplied Insight
, United States
About Us: Innovating to solve real-world problems Applied Insight enhances the ability of federal government customers to preserve national security, deliver justice and serve the public with advanced technologies and quality analysis. We work closely with agencies and industry to overcome technical and cultural hurdles to innovation, empowering t
Job Source: Applied InsightShiftCode Analytics
Jersey City, NJ, United States
Title: Cloud Data Engineer Location: Charlotte, NC This role is 100% remote But Local Candidate is highly Preferred Sector: Banking Duration: 8 month (C2H) (USC or GC candidates Only***) Job Summary: Project Details: Job Description: Be the subject matter expert for data, pipeline design, architecture, and other data engineering technologies for t
Job Source: ShiftCode AnalyticsAretec, Inc.
Little Ferry, NJ, United States
We are... Aretec, a leading provider of innovative technology solutions for federal agencies, specializing in cybersecurity, data analytics, and insider threat detection. As a trusted partner, we work closely with our clients to develop and implement cutting-edge strategies that safeguard sensitive information and protect national security interest
Job Source: Aretec, Inc., , United States
Company Overview: Welcome to the forefront of cloud data engineering! At our company, we're dedicated to leveraging the power of cloud technology to drive data-driven innovation. Our mission is to develop scalable and robust cloud data solutions that enable organizations to harness the full potential of their data. Join us and be part of a dynamic team committed to shaping the future of cloud data engineering.
Position Overview: As a Cloud Data Engineer, you'll play a pivotal role in designing, building, and maintaining our cloud-based data infrastructure and systems. Working closely with cross-functional teams of data engineers, architects, and business stakeholders, you'll ensure the reliability, scalability, and efficiency of our cloud data solutions. If you're passionate about cloud technology and eager to drive innovation through scalable data solutions, we want you on our team.
Requirements
Key Responsibilities:
Cloud Data Infrastructure Design: Design and architect scalable and resilient cloud-based data infrastructure solutions using leading cloud platforms such as AWS, Google Cloud Platform, or Microsoft Azure.
Data Ingestion and Integration: Develop and maintain data ingestion pipelines to collect and integrate data from diverse sources into cloud storage and processing services.
Data Processing and Transformation: Implement data processing and transformation workflows using cloud-native services such as AWS Glue, Google Dataflow, or Azure Data Factory.
Data Storage and Management: Manage cloud-based data storage solutions, including data lakes, data warehouses, and NoSQL databases, optimizing for performance, cost, and scalability.
Data Governance and Security: Implement data governance policies and security controls to ensure compliance with regulatory requirements and protect sensitive data in the cloud.
Performance Optimization: Optimize cloud data solutions for performance, scalability, and cost-effectiveness, leveraging cloud-native services and technologies.
Monitoring and Maintenance: Monitor cloud data infrastructure and systems for performance, reliability, and security, proactively identifying and addressing issues to minimize downtime and optimize resource utilization.
Documentation and Collaboration: Document cloud data architecture, processes, and best practices, and collaborate with cross-functional teams to ensure alignment and transparency.
Qualifications:
Bachelor's degree or higher in Computer Science, Engineering, or related field.
Strong background in data engineering, with hands-on experience in designing, building, and optimizing cloud-based data solutions.
Proficiency in cloud platforms such as AWS, Google Cloud Platform, or Microsoft Azure, and experience with cloud services such as S3, GCS, Azure Blob Storage, and others.
Experience with cloud data processing and analytics services such as AWS Glue, Google Dataflow, Apache Spark on cloud platforms, or Azure Data Lake Analytics.
Familiarity with cloud data storage solutions such as AWS S3, Google Cloud Storage, Azure Blob Storage, AWS Redshift, Google BigQuery, Azure SQL Data Warehouse, or others.
Strong problem-solving abilities and analytical thinking, with a keen attention to detail and a passion for tackling complex technical challenges.
Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams and communicate technical concepts to non-technical stakeholders.
Benefits
Competitive salary: The industry standard salary for Cloud Data Engineers typically ranges from $140,000 to $210,000 per year, depending on experience and qualifications. Exceptional candidates may be eligible for higher compensation packages.
Comprehensive health, dental, and vision insurance plans.
Flexible work hours and remote work options.
Generous vacation and paid time off.
Professional development opportunities, including access to training programs, conferences, and workshops.
State-of-the-art technology environment with access to leading cloud platforms and tools.
Vibrant and inclusive company culture with team-building activities and social events.
Opportunities for career growth and advancement within the company.
Exciting projects with real-world impact across diverse industries.
Chance to work alongside top talent and industry experts in the field of cloud data engineering.
Join Us: Ready to shape the future of cloud data engineering? Apply now to join our team and be part of an exciting journey of innovation and discovery!
Email Alert for Cloud Data Engineer jobs in , , United States
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