{"schemaVersion":"jobsearcher.job.v1","id":"d12f99ab035024363afa7277","url":"https://jobsearcher.com/jobs/d12f99ab035024363afa7277","canonicalUrl":"https://jobsearcher.com/jobs/d12f99ab035024363afa7277","title":"Cloud Data Engineer","description":"We are seeking a highly skilled Data Engineer to join our team. The ideal candidate will have expertise in AWS, Azure, Google Cloud Platform (GCP), and Kubernetes, with a strong background in data engineering, cloud architecture, and Linux. The candidate will be responsible for designing scalable data pipelines, ensuring secure data processing, optimizing system performance, and enabling seamless data integration across various platforms.\nResponsibilities\nDesign, develop, and implement data pipelines and ETL workflows using AWS, Azure, and Google Cloud Platform (GCP) to support business analytics and data science initiatives.\nManage and orchestrate containerized data solutions with Kubernetes, ensuring high availability and scalability of data pipelines.\nAutomate infrastructure and deployment processes for data workflows using tools like Terraform, Ansible, and Helm.\nMonitor the performance, security, and reliability of data pipelines and storage systems across all cloud environments.\nCollaborate with cross-functional teams, including data scientists and software engineers, to design and optimize data models and solutions.\nSet up and manage CI/CD pipelines to enable continuous integration and deployment for data engineering workflows.\nImplement security best practices for handling sensitive data, ensuring compliance with industry standards and preventing unauthorized access.\nOptimize cloud resource usage for data storage and processing, ensuring cost-effective utilization across AWS, Azure, and GCP.\nTroubleshoot issues related to data ingestion, processing, and storage, providing timely and effective resolutions.\nPerform regular data backups, disaster recovery planning, and system updates to maintain data integrity and availability.\nStay current with emerging data engineering technologies and recommend improvements to data architecture and operational procedures.\nShareYou said:need to post a job for junior developer position , prepare a JD for this ChatGPT said:ChatGPT\nHere’s a concise and compelling job description for a Junior Developer position:\nJob Title: Junior Developer\nLocation: [Specify Location or Mention \"Remote\"]\nJob Type: [Full-time/Part-time/Contract]\nExperience Level: Entry-Level\nAbout the Role\nWe are looking for a motivated and enthusiastic Junior Developer to join our dynamic team. In this role, you will collaborate with senior developers and cross-functional teams to design, build, and maintain scalable software solutions. This is an excellent opportunity to grow your technical skills and contribute to meaningful projects.\nKey Responsibilities\nWrite, test, and maintain code for web, mobile, or backend applications.\nCollaborate with team members to understand project requirements and objectives.\nDebug and resolve software issues reported by users or team members.\nParticipate in code reviews and learn from experienced developers.\nStay updated with the latest technologies and trends in software development.\nRequired Skills and Qualifications\nBachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience).\nProficiency in at least one programming language (e.g., Python, JavaScript, Java, C#, etc.).\nFamiliarity with version control systems like Git.\nBasic understanding of web development (HTML, CSS, JavaScript) or backend development.\nProblem-solving mindset and eagerness to learn new technologies.\nStrong communication and teamwork skills.\nPreferred Qualifications\nExperience with frameworks or libraries (e.g., React, Angular, Django, etc.).\nKnowledge of databases (SQL or NoSQL).\nExposure to Agile development methodologies.\nHands-on experience with debugging and testing tools.\nWhat We Offer\nCompetitive salary and benefits package.\nMentorship from experienced developers.\nOpportunities to work on cutting-edge technologies and projects.\nA collaborative and supportive work environment.\nRoom for professional growth and career development.\nApplication Process:\nTo apply, send your resume and a brief cover letter to [Email Address]. Include any personal projects or portfolio links that showcase your skills.\nFeel free to customize it further to match your organization’s culture or specific requirements. Let me know if you need additional sections or adjustments!\n4oYou said:cloud data engineer position ChatGPT said:ChatGPT\nHere’s a job description for a Cloud Data Engineer position:\nJob Title: Cloud Data Engineer\nLocation: [Specify Location or Mention \"Remote\"]\nJob Type: [Full-time/Part-time/Contract]\nExperience Level: [Specify Level, e.g., Mid-Level, Entry-Level]\nAbout the Role\nWe are seeking a skilled and passionate Cloud Data Engineer to design, build, and maintain cloud-based data infrastructure. In this role, you will work on ingesting, transforming, and managing large-scale datasets to support analytics, machine learning, and data-driven decision-making.\nKey Responsibilities\nDesign, develop, and maintain scalable cloud-based data pipelines and workflows.\nBuild and optimize data models for analytics and reporting purposes.\nCollaborate with data scientists, analysts, and cross-functional teams to understand data requirements.\nImplement data governance practices, including data security and compliance.\nMonitor, troubleshoot, and improve the performance of data infrastructure and pipelines.\nDevelop ETL processes to integrate structured and unstructured data from multiple sources.\nEvaluate and recommend cloud-based tools and technologies to enhance data infrastructure.\nRequired Skills and Qualifications\nBachelor’s degree in Computer Science, Data Engineering, or a related field (or equivalent experience).\nProven experience with cloud platforms (e.g., AWS, Azure, Google Cloud).\nStrong programming skills in Python, Java, or Scala.\nProficiency in SQL and experience with relational and NoSQL databases.\nFamiliarity with big data technologies (e.g., Apache Spark, Hadoop).\nExperience with data integration tools (e.g., Apache Airflow, Glue, Dataflow).\nKnowledge of containerization and orchestration tools (e.g., Docker, Kubernetes).\nPreferred Qualifications\nCertification in cloud platforms (e.g., AWS Certified Data Analytics, Google Cloud Data Engineer).\nExperience with data visualization tools (e.g., Tableau, Power BI).\nKnowledge of data warehousing solutions like Snowflake, BigQuery, or Redshift.\nUnderstanding of machine learning workflows and integration with data pipelines.\nExposure to CI/CD pipelines for data deployments.\nWhat We Offer\nCompetitive salary and benefits package.\nAccess to cutting-edge technologies and projects.\nOpportunities for professional growth and cloud certifications.\nA collaborative and innovative work environment.\nFlexible work arrangements, including remote options.\nApplication Process:\nTo apply, send your resume and a cover letter to [Email Address]. Feel free to include links to your GitHub, LinkedIn, or portfolio to showcase your work.\nLet me know if you’d like to tailor this JD further for specific cloud providers or tools!\n4oYou said:daat engineer fresher ChatGPT said:ChatGPT\nHere’s a job description tailored for a Fresher Data Engineer position:\nJob Title: Data Engineer (Fresher/Entry-Level)\nLocation: [Specify Location or Mention \"Remote\"]\nJob Type: [Full-time/Part-time/Contract]\nExperience Level: Entry-Level\nAbout the Role\nWe are looking for an enthusiastic and detail-oriented Fresher Data Engineer to join our team. This role is perfect for a recent graduate or someone at the beginning of their career, eager to learn and contribute to building efficient data systems. You will work with experienced professionals to design, implement, and maintain data pipelines and support data-driven decision-making.\nKey Responsibilities\nAssist in developing and maintaining data pipelines to process structured and unstructured data.\nCollaborate with team members to collect, clean, and prepare data for analysis.\nWork with databases to store and retrieve data efficiently.\nMonitor and troubleshoot data-related issues in the infrastructure.\nParticipate in data modeling and database design activities.\nLearn and implement best practices in data engineering and cloud technologies.\nRequired Skills and Qualifications\nBachelor’s degree in Computer Science, Information Technology, or a related field.\nStrong programming skills in Python, Java, or any similar language.\nBasic knowledge of SQL for querying and managing databases.\nUnderstanding of data structures, algorithms, and database design.\nWillingness to learn and adapt to new tools and technologies.\nStrong problem-solving skills and attention to detail.\nPreferred Skills\nFamiliarity with cloud platforms (AWS, Azure, or Google Cloud).\nBasic understanding of ETL processes and data pipelines.\nExposure to data visualization tools like Tableau or Power BI.\nKnowledge of big data tools such as Apache Spark or Hadoop is a plus.\nWhat We Offer\nA supportive learning environment with mentorship opportunities.\nHands-on experience with real-world data engineering projects.\nOpportunities for career growth and certifications in data engineering.\nA collaborative and inclusive work culture.\nApplication Process:\nTo apply, send your resume and a brief cover letter to [Email Address]. If you have completed any academic projects or have a portfolio, feel free to share it.\nLet me know if you'd like to further customize this JD!\n4oYou said:Job Overview We are seeking a highly skilled Cloud Engineer to join our team. The ideal candidate will have expertise in AWS, Azure, Google Cloud Platform (GCP), Kubernetes, and Linux, with a strong background in computer science, server management, and cloud architecture. The candidate will be responsible for designing scalable and secure cloud solutions, optimizing system performance, and ensuring smooth deployment processes across various platforms. Responsibilities Design, develop, and deploy cloud-based solutions using AWS, Azure, and Google Cloud Platform (GCP) to meet business needs and scalability requirements. Implement, configure, and manage Kubernetes clusters to orchestrate containerized applications and ensure high availability and reliability. Automate deployment processes using tools like Terraform, Ansible, and Helm to streamline cloud infrastructure management. Monitor system performance, security, and uptime across all cloud environments to ensure a robust, reliable infrastructure. Collaborate with cross-functional teams, including software developers and security engineers, to integrate cloud services and optimize application performance. Set up and manage CI/CD pipelines across cloud platforms to enable continuous integration and automated deployments. Implement security best practices for cloud environments, ensuring compliance with industry standards and preventing security breaches. Optimize cost management and usage of cloud resources, ensuring efficient utilization across AWS, Azure, and GCP. Troubleshoot cloud infrastructure issues related to networking, storage, and performance, providing timely and effective solutions. Perform regular backups, disaster recovery planning, and system updates to maintain data integrity and minimize downtime. Stay current with emerging cloud technologies and recommend improvements to cloud architecture and operational procedures. Qualifications Proficiency in Linux operating systems and server management, with strong troubleshooting skills. Solid understanding of Node.js, Ruby on Rails, Java, and shell scripting for automating cloud tasks and workflows. Extensive experience with AWS, Azure, and Google Cloud Platform (GCP) services, as well as Kubernetes orchestration and management. Strong knowledge of cloud security principles, including identity and access management (IAM) and encryption. Ability to design scalable, secure, and cost-effective cloud architectures. Experience with infrastructure-as-code tools like Terraform, CloudFormation, or ARM templates for automating cloud infrastructure. Excellent communication skills, with the ability to work independently and as part of a collaborative team. phrase teh above for data engineer ChatGPT said:ChatGPT\nHere’s a modified version of the above job description tailored for a Data Engineer role:\nJob Overview\nWe are seeking a highly skilled Data Engineer to join our team. The ideal candidate will have expertise in AWS, Azure, Google Cloud Platform (GCP), and Kubernetes, with a strong background in data engineering, cloud architecture, and Linux. The candidate will be responsible for designing scalable data pipelines, ensuring secure data processing, optimizing system performance, and enabling seamless data integration across various platforms.\nResponsibilities\nDesign, develop, and implement data pipelines and ETL workflows using AWS, Azure, and Google Cloud Platform (GCP) to support business analytics and data science initiatives.\nManage and orchestrate containerized data solutions with Kubernetes, ensuring high availability and scalability of data pipelines.\nAutomate infrastructure and deployment processes for data workflows using tools like Terraform, Ansible, and Helm.\nMonitor the performance, security, and reliability of data pipelines and storage systems across all cloud environments.\nCollaborate with cross-functional teams, including data scientists and software engineers, to design and optimize data models and solutions.\nSet up and manage CI/CD pipelines to enable continuous integration and deployment for data engineering workflows.\nImplement security best practices for handling sensitive data, ensuring compliance with industry standards and preventing unauthorized access.\nOptimize cloud resource usage for data storage and processing, ensuring cost-effective utilization across AWS, Azure, and GCP.\nTroubleshoot issues related to data ingestion, processing, and storage, providing timely and effective resolutions.\nPerform regular data backups, disaster recovery planning, and system updates to maintain data integrity and availability.\nStay current with emerging data engineering technologies and recommend improvements to data architecture and operational procedures.\nQualifications\nProficiency in Linux operating systems and server management, with strong troubleshooting skills.\nSolid understanding of programming languages like Python, Java, and SQL for building and automating data workflows.\nExtensive experience with AWS, Azure, and Google Cloud Platform (GCP) data services (e.g., Redshift, BigQuery, Azure Synapse).\nStrong knowledge of Kubernetes for orchestrating data workloads and managing distributed data systems.\nExpertise in designing scalable, secure, and cost-effective data architectures.\nExperience with infrastructure-as-code tools like Terraform, CloudFormation, or ARM templates to automate data infrastructure.\nStrong knowledge of cloud security principles, including data encryption and access control.\nExcellent communication skills and the ability to work both independently and collaboratively in a team environment.\nJob Type: Contract\nPay: $69.04 - $73.86 per hour\nSchedule:\n8 hour shift\nExperience:\nAzure: 1 year (Preferred)\nAWS: 1 year (Preferred)\nWork Location: Remote","company":"Tnt Techies Guide","rawCompany":"tnt techies guide","city":"Remote","state":"OR","isRemote":false,"isActive":false,"createdAt":"2026-04-12T21:21:10.929Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Cloud Data Engineer","description":"We are seeking a highly skilled Data Engineer to join our team. The ideal candidate will have expertise in AWS, Azure, Google Cloud Platform (GCP), and Kubernetes, with a strong background in data engineering, cloud architecture, and Linux. The candidate will be responsible for designing scalable data pipelines, ensuring secure data processing, optimizing system performance, and enabling seamless data integration across various platforms.\nResponsibilities\nDesign, develop, and implement data pipelines and ETL workflows using AWS, Azure, and Google Cloud Platform (GCP) to support business analytics and data science initiatives.\nManage and orchestrate containerized data solutions with Kubernetes, ensuring high availability and scalability of data pipelines.\nAutomate infrastructure and deployment processes for data workflows using tools like Terraform, Ansible, and Helm.\nMonitor the performance, security, and reliability of data pipelines and storage systems across all cloud environments.\nCollaborate with cross-functional teams, including data scientists and software engineers, to design and optimize data models and solutions.\nSet up and manage CI/CD pipelines to enable continuous integration and deployment for data engineering workflows.\nImplement security best practices for handling sensitive data, ensuring compliance with industry standards and preventing unauthorized access.\nOptimize cloud resource usage for data storage and processing, ensuring cost-effective utilization across AWS, Azure, and GCP.\nTroubleshoot issues related to data ingestion, processing, and storage, providing timely and effective resolutions.\nPerform regular data backups, disaster recovery planning, and system updates to maintain data integrity and availability.\nStay current with emerging data engineering technologies and recommend improvements to data architecture and operational procedures.\nShareYou said:need to post a job for junior developer position , prepare a JD for this ChatGPT said:ChatGPT\nHere’s a concise and compelling job description for a Junior Developer position:\nJob Title: Junior Developer\nLocation: [Specify Location or Mention \"Remote\"]\nJob Type: [Full-time/Part-time/Contract]\nExperience Level: Entry-Level\nAbout the Role\nWe are looking for a motivated and enthusiastic Junior Developer to join our dynamic team. In this role, you will collaborate with senior developers and cross-functional teams to design, build, and maintain scalable software solutions. This is an excellent opportunity to grow your technical skills and contribute to meaningful projects.\nKey Responsibilities\nWrite, test, and maintain code for web, mobile, or backend applications.\nCollaborate with team members to understand project requirements and objectives.\nDebug and resolve software issues reported by users or team members.\nParticipate in code reviews and learn from experienced developers.\nStay updated with the latest technologies and trends in software development.\nRequired Skills and Qualifications\nBachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience).\nProficiency in at least one programming language (e.g., Python, JavaScript, Java, C#, etc.).\nFamiliarity with version control systems like Git.\nBasic understanding of web development (HTML, CSS, JavaScript) or backend development.\nProblem-solving mindset and eagerness to learn new technologies.\nStrong communication and teamwork skills.\nPreferred Qualifications\nExperience with frameworks or libraries (e.g., React, Angular, Django, etc.).\nKnowledge of databases (SQL or NoSQL).\nExposure to Agile development methodologies.\nHands-on experience with debugging and testing tools.\nWhat We Offer\nCompetitive salary and benefits package.\nMentorship from experienced developers.\nOpportunities to work on cutting-edge technologies and projects.\nA collaborative and supportive work environment.\nRoom for professional growth and career development.\nApplication Process:\nTo apply, send your resume and a brief cover letter to [Email Address]. Include any personal projects or portfolio links that showcase your skills.\nFeel free to customize it further to match your organization’s culture or specific requirements. Let me know if you need additional sections or adjustments!\n4oYou said:cloud data engineer position ChatGPT said:ChatGPT\nHere’s a job description for a Cloud Data Engineer position:\nJob Title: Cloud Data Engineer\nLocation: [Specify Location or Mention \"Remote\"]\nJob Type: [Full-time/Part-time/Contract]\nExperience Level: [Specify Level, e.g., Mid-Level, Entry-Level]\nAbout the Role\nWe are seeking a skilled and passionate Cloud Data Engineer to design, build, and maintain cloud-based data infrastructure. In this role, you will work on ingesting, transforming, and managing large-scale datasets to support analytics, machine learning, and data-driven decision-making.\nKey Responsibilities\nDesign, develop, and maintain scalable cloud-based data pipelines and workflows.\nBuild and optimize data models for analytics and reporting purposes.\nCollaborate with data scientists, analysts, and cross-functional teams to understand data requirements.\nImplement data governance practices, including data security and compliance.\nMonitor, troubleshoot, and improve the performance of data infrastructure and pipelines.\nDevelop ETL processes to integrate structured and unstructured data from multiple sources.\nEvaluate and recommend cloud-based tools and technologies to enhance data infrastructure.\nRequired Skills and Qualifications\nBachelor’s degree in Computer Science, Data Engineering, or a related field (or equivalent experience).\nProven experience with cloud platforms (e.g., AWS, Azure, Google Cloud).\nStrong programming skills in Python, Java, or Scala.\nProficiency in SQL and experience with relational and NoSQL databases.\nFamiliarity with big data technologies (e.g., Apache Spark, Hadoop).\nExperience with data integration tools (e.g., Apache Airflow, Glue, Dataflow).\nKnowledge of containerization and orchestration tools (e.g., Docker, Kubernetes).\nPreferred Qualifications\nCertification in cloud platforms (e.g., AWS Certified Data Analytics, Google Cloud Data Engineer).\nExperience with data visualization tools (e.g., Tableau, Power BI).\nKnowledge of data warehousing solutions like Snowflake, BigQuery, or Redshift.\nUnderstanding of machine learning workflows and integration with data pipelines.\nExposure to CI/CD pipelines for data deployments.\nWhat We Offer\nCompetitive salary and benefits package.\nAccess to cutting-edge technologies and projects.\nOpportunities for professional growth and cloud certifications.\nA collaborative and innovative work environment.\nFlexible work arrangements, including remote options.\nApplication Process:\nTo apply, send your resume and a cover letter to [Email Address]. Feel free to include links to your GitHub, LinkedIn, or portfolio to showcase your work.\nLet me know if you’d like to tailor this JD further for specific cloud providers or tools!\n4oYou said:daat engineer fresher ChatGPT said:ChatGPT\nHere’s a job description tailored for a Fresher Data Engineer position:\nJob Title: Data Engineer (Fresher/Entry-Level)\nLocation: [Specify Location or Mention \"Remote\"]\nJob Type: [Full-time/Part-time/Contract]\nExperience Level: Entry-Level\nAbout the Role\nWe are looking for an enthusiastic and detail-oriented Fresher Data Engineer to join our team. This role is perfect for a recent graduate or someone at the beginning of their career, eager to learn and contribute to building efficient data systems. You will work with experienced professionals to design, implement, and maintain data pipelines and support data-driven decision-making.\nKey Responsibilities\nAssist in developing and maintaining data pipelines to process structured and unstructured data.\nCollaborate with team members to collect, clean, and prepare data for analysis.\nWork with databases to store and retrieve data efficiently.\nMonitor and troubleshoot data-related issues in the infrastructure.\nParticipate in data modeling and database design activities.\nLearn and implement best practices in data engineering and cloud technologies.\nRequired Skills and Qualifications\nBachelor’s degree in Computer Science, Information Technology, or a related field.\nStrong programming skills in Python, Java, or any similar language.\nBasic knowledge of SQL for querying and managing databases.\nUnderstanding of data structures, algorithms, and database design.\nWillingness to learn and adapt to new tools and technologies.\nStrong problem-solving skills and attention to detail.\nPreferred Skills\nFamiliarity with cloud platforms (AWS, Azure, or Google Cloud).\nBasic understanding of ETL processes and data pipelines.\nExposure to data visualization tools like Tableau or Power BI.\nKnowledge of big data tools such as Apache Spark or Hadoop is a plus.\nWhat We Offer\nA supportive learning environment with mentorship opportunities.\nHands-on experience with real-world data engineering projects.\nOpportunities for career growth and certifications in data engineering.\nA collaborative and inclusive work culture.\nApplication Process:\nTo apply, send your resume and a brief cover letter to [Email Address]. If you have completed any academic projects or have a portfolio, feel free to share it.\nLet me know if you'd like to further customize this JD!\n4oYou said:Job Overview We are seeking a highly skilled Cloud Engineer to join our team. The ideal candidate will have expertise in AWS, Azure, Google Cloud Platform (GCP), Kubernetes, and Linux, with a strong background in computer science, server management, and cloud architecture. The candidate will be responsible for designing scalable and secure cloud solutions, optimizing system performance, and ensuring smooth deployment processes across various platforms. Responsibilities Design, develop, and deploy cloud-based solutions using AWS, Azure, and Google Cloud Platform (GCP) to meet business needs and scalability requirements. Implement, configure, and manage Kubernetes clusters to orchestrate containerized applications and ensure high availability and reliability. Automate deployment processes using tools like Terraform, Ansible, and Helm to streamline cloud infrastructure management. Monitor system performance, security, and uptime across all cloud environments to ensure a robust, reliable infrastructure. Collaborate with cross-functional teams, including software developers and security engineers, to integrate cloud services and optimize application performance. Set up and manage CI/CD pipelines across cloud platforms to enable continuous integration and automated deployments. Implement security best practices for cloud environments, ensuring compliance with industry standards and preventing security breaches. Optimize cost management and usage of cloud resources, ensuring efficient utilization across AWS, Azure, and GCP. Troubleshoot cloud infrastructure issues related to networking, storage, and performance, providing timely and effective solutions. Perform regular backups, disaster recovery planning, and system updates to maintain data integrity and minimize downtime. Stay current with emerging cloud technologies and recommend improvements to cloud architecture and operational procedures. Qualifications Proficiency in Linux operating systems and server management, with strong troubleshooting skills. Solid understanding of Node.js, Ruby on Rails, Java, and shell scripting for automating cloud tasks and workflows. Extensive experience with AWS, Azure, and Google Cloud Platform (GCP) services, as well as Kubernetes orchestration and management. Strong knowledge of cloud security principles, including identity and access management (IAM) and encryption. Ability to design scalable, secure, and cost-effective cloud architectures. Experience with infrastructure-as-code tools like Terraform, CloudFormation, or ARM templates for automating cloud infrastructure. Excellent communication skills, with the ability to work independently and as part of a collaborative team. phrase teh above for data engineer ChatGPT said:ChatGPT\nHere’s a modified version of the above job description tailored for a Data Engineer role:\nJob Overview\nWe are seeking a highly skilled Data Engineer to join our team. The ideal candidate will have expertise in AWS, Azure, Google Cloud Platform (GCP), and Kubernetes, with a strong background in data engineering, cloud architecture, and Linux. The candidate will be responsible for designing scalable data pipelines, ensuring secure data processing, optimizing system performance, and enabling seamless data integration across various platforms.\nResponsibilities\nDesign, develop, and implement data pipelines and ETL workflows using AWS, Azure, and Google Cloud Platform (GCP) to support business analytics and data science initiatives.\nManage and orchestrate containerized data solutions with Kubernetes, ensuring high availability and scalability of data pipelines.\nAutomate infrastructure and deployment processes for data workflows using tools like Terraform, Ansible, and Helm.\nMonitor the performance, security, and reliability of data pipelines and storage systems across all cloud environments.\nCollaborate with cross-functional teams, including data scientists and software engineers, to design and optimize data models and solutions.\nSet up and manage CI/CD pipelines to enable continuous integration and deployment for data engineering workflows.\nImplement security best practices for handling sensitive data, ensuring compliance with industry standards and preventing unauthorized access.\nOptimize cloud resource usage for data storage and processing, ensuring cost-effective utilization across AWS, Azure, and GCP.\nTroubleshoot issues related to data ingestion, processing, and storage, providing timely and effective resolutions.\nPerform regular data backups, disaster recovery planning, and system updates to maintain data integrity and availability.\nStay current with emerging data engineering technologies and recommend improvements to data architecture and operational procedures.\nQualifications\nProficiency in Linux operating systems and server management, with strong troubleshooting skills.\nSolid understanding of programming languages like Python, Java, and SQL for building and automating data workflows.\nExtensive experience with AWS, Azure, and Google Cloud Platform (GCP) data services (e.g., Redshift, BigQuery, Azure Synapse).\nStrong knowledge of Kubernetes for orchestrating data workloads and managing distributed data systems.\nExpertise in designing scalable, secure, and cost-effective data architectures.\nExperience with infrastructure-as-code tools like Terraform, CloudFormation, or ARM templates to automate data infrastructure.\nStrong knowledge of cloud security principles, including data encryption and access control.\nExcellent communication skills and the ability to work both independently and collaboratively in a team environment.\nJob Type: Contract\nPay: $69.04 - $73.86 per hour\nSchedule:\n8 hour shift\nExperience:\nAzure: 1 year (Preferred)\nAWS: 1 year (Preferred)\nWork Location: Remote","datePosted":"2026-04-12T21:21:10.929Z","dateModified":"2026-04-12T21:21:10.929Z","hiringOrganization":{"@type":"Organization","name":"Tnt Techies Guide","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote","addressRegion":"OR","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"d12f99ab035024363afa7277"},"url":"https://jobsearcher.com/jobs/d12f99ab035024363afa7277"}}