288 Cloud Storage Jobs - Page 7

About the Role: We are looking for a skilled and motivated Data Engineer with strong experience in Python programming and Google Cloud Platform (GCP) to join our data engineering team. The ideal candidate will be responsible for designing, developing, and maintaining robust and scalable ETL (Extract, Transform, Load) data pipelines. The role involves working with various GCP services, implementing data ingestion and transformation logic, and ensuring data quality and consistency across systems. Key Responsibilities: Design, develop, test, and maintain scalable ETL data pipelines using Python. Work extensively on Google Cloud Platform (GCP) services such as: Dataflow for real-time and batch data processing Cloud Functions for lightweight serverless compute BigQuery for data warehousing and analytics Cloud Composer for orchestration of data workflows (based on Apache Airflow) Google Cloud Storage (GCS) for managing data at scale IAM for access control and security Cloud Run for containerized applications Perform data ingestion from various sources and apply transformation and cleansing logic to ensure high-quality data delivery. Implement and enforce data quality checks, validation rules, and monitoring. Collaborate with data scientists, analysts, and other engineering teams to understand data needs and deliver efficient data solutions. Manage version control using GitHub and participate in CI/CD pipeline deployments for data projects. Write complex SQL queries for data extraction and validation from relational databases such as SQL Server, Oracle, or PostgreSQL. Document pipeline designs, data flow diagrams, and operational support procedures. Required Skills: 4-6 years of hands-on experience in Python for backend or data engineering projects. Strong understanding and working experience with GCP cloud services (especially Dataflow, BigQuery, Cloud Functions, Cloud Composer, etc.). Solid understanding of data pipeline architecture, data integration, and transformation techniques. Experience in working with version control systems like GitHub and knowledge of CI/CD practices. Strong experience in SQL with at least one enterprise database (SQL Server, Oracle, PostgreSQL, etc.). Good to Have (Optional Skills): Experience working with Snowflake cloud data platform. Hands-on knowledge of Databricks for big data processing and analytics. Familiarity with Azure Data Factory (ADF) and other Azure data engineering tools.

8+ yrs exp in Cloud Architect with GCP. Expertise in GCP services like Compute Engine, Kubernetes. understanding of cloud security. Proficiency in DevOps tools. looking for immediate joiners

Warm Greetings from SP Staffing Services Private Limited!! We have an urgent opening with our CMMI Level5 client for the below position. Please send your update profile if you are interested. Relevant Experience: 5 - 15 Yrs Location: Pan India Job Description: Minimum 2 years hands on experience in GCP Development ( Data Engineering ) Position : Developer / Tech Lead / Architect Interested can share your resume to sankarspstaffings@gmail.com with below inline details. Over All Exp : Relevant Exp : Current CTC : Expected CTC : Notice Period :

Responsibilities As a Lead Information Security Engineer with Principal Global Services, you ll join our Configuration Management Team that is responsible to manage misconfigurations/ CSPM in our public cloud. Your key roles and responsibilities will include: Cloud Security Posture Management Must have Hands-on experience in scripting languages such as Python (required), PowerShell etc. You ll contribute to our CSPM application, adding functionality and debugging issues Must have Hands-on experience in Programming/Scripting competency with Infrastructure-as-Code (IaC) using Terraform and CDK Must have Hands-on experience in AWS (preferred) and Azure (good to have). Understanding of native cloud solutions like EC2 s, Containers, Lambda s, Docker, containers, Kubernetes, VDIs, cloud storage, cloud infrastructure, etc. And other cloud security services like Load Balancer, VPC Flow Logs, EKS, Lambda, and WAFs. Candidate should have AWS Cloud Practioner certification (CCP). AWS Cloud Security Specialty certification is a plus. Good to have Experience in Cloud Security Posture Management (CSPM) - Use tools to discover assets in cloud infrastructure to identify and continuously monitor for security vulnerabilities and misconfigurations Experience in using CSPM tools like Wiz (preferred) Experience with GitHub, as well as Continuous Integration/ Continuous Deployment (CI/CD) processes. Qualifications Qualifications At least 8 Years of Hands-on experience in the must have skillsets listed above

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Hyderabad, Telangana, India; Pune, Maharashtra, India; Bengaluru, Karnataka, India.Minimum qualifications:. Bachelor’s degree or equivalent practical experience.. 2 years of experience with data structures or algorithms in an academic or industry setting.. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.. Experience in Storage, Cloud Storage, Google Cloud, Distributed Systems.. Preferred qualifications:. Master's degree or PhD in Computer Science or a related technical field.. Experience in computer science, with data structures, algorithms, and software design.. Experience in programming with Python, C++, Java/Kotlin or Golang.. Knowledge of AI/ML with the ability to apply it to solve critical business problems.. About the jobGoogle Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.. In this role, you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.. Responsibilities. Own parts of GCS Fuse which has an increasing customer base and usage due to the AI/ML revolution.. Own, ideate, design, land and iterate on new features and improve performance of existing features, thereby building momentum to expand to more customers.. Research into the existing usage, understanding API and service boundaries, and identifying customer needs (Program Manager support available).. Find existing pain points. Own the design and execution and landing ideas successfully.. Involve interaction with open source software and multiple languages so that the ability to scale beyond the existing toolkit is extremely important.. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .. Show more Show less

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Hyderabad, Telangana, India; Pune, Maharashtra, India; Bengaluru, Karnataka, India.Minimum qualifications:. Bachelor’s degree or equivalent practical experience.. 2 years of experience with data structures or algorithms in an academic or industry setting.. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.. Experience in Storage, Cloud Storage, Google Cloud, Distributed Systems.. Preferred qualifications:. Master's degree or PhD in Computer Science or a related technical field.. Experience in computer science, with data structures, algorithms, and software design.. Experience in programming with Python, C++, Java/Kotlin or Golang.. Knowledge of AI/ML with the ability to apply it to solve critical business problems.. About the jobGoogle Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.. In this role, you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.. Responsibilities. Own parts of GCS Fuse which has an increasing customer base and usage due to the AI/ML revolution.. Own, ideate, design, land and iterate on new features and improve performance of existing features, thereby building momentum to expand to more customers.. Research into the existing usage, understanding API and service boundaries, and identifying customer needs (Program Manager support available).. Find existing pain points. Own the design and execution and landing ideas successfully.. Involve interaction with open source software and multiple languages so that the ability to scale beyond the existing toolkit is extremely important.. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .. Show more Show less

About Aeris:. The Internet of Things (IoT) will unlock trillions of dollars in value over the next 10 years as 50 billion devices are brought online. Aeris is at the forefront of this industry, building networks and applications to enable Fortune 500 clients like Chrysler, Honda and Bosch fundamentally improve their businesses. Headquartered in Silicon Valley with offices in Bucharest, Chicago, London, Delhi, Bangalore, Helsinki, and Tokyo as well as other markets. We rank among the top ten cellular providers for the IoT globally, powering critical projects across energy, transportation, retail, healthcare and more.. Built from the ground up for IoT and road-tested at scale, Aeris IoT Services are based on the broadest technology stack in the industry, spanning connectivity up to vertical solutions. As veterans of the industry, we know that implementing an IoT solution can be complex, and we pride ourselves on making it simpler. Our company is in an enviable spot. We’re profitable, and both our bottom line and our global reach are growing rapidly. We’re playing in an exploding market where technology evolves daily and new IoT solutions and platforms are being created at a fast-pace.. A few things to know about us:. We put our customers first. When making decisions, we always seek to do what is right for our customer first, our company second, our teams third, and individual selves last.. We do things differently. As a pioneer in a highly-competitive industry that is poised to reshape every sector of the global economy, we cannot fall back on old models. Rather, we must chart our own path and strive to out-innovate, out-learn, out-maneuver and out-pace the competition on the way.. We walk the walk on diversity. We’re a brilliant and eclectic mix of ethnicities, religions, industry experiences, sexual orientations, generations and more – and that’s by design. We see diverse perspectives as a core competitive advantage.. Integrity is essential. We believe in doing things well – and doing them right. Integrity is a core value here: you’ll see it embodied in our staff, our management approach and growing social impact work (we have a VP devoted to it). You’ll also see it embodied in the way we manage people and our HR issues: we expect employees and managers to deal with issues directly, immediately and with the utmost respect for each other and for the Company.. We are owners. Strong managers enable and empower their teams to figure out how to solve problems. You will be no exception, and will have the ownership, accountability and autonomy needed to be truly creative.. Aeris is looking for experienced and highly motivated CloudOps Engineer to join our team. The ideal candidate will have extensive knowledge and hands-on experience with Cloud Platform (GCP/AWS/Azure) and cloud operations. As a CloudOps Engineer, you will be responsible for managing, optimizing, and ensuring the reliability of our cloud infrastructure. You will work closely with development, operations, and DevOps teams to implement best practices and improve system performance and availability.. Key Responsibilities. Cloud Infrastructure Management. Access Control: Implementing Cloud IAM, service accounts, and roles with the principle of least privilege.. Resource Management: Effectively managing projects, quotas, and policies.. Cloud Costs Management: Setting budget alerts and conducting cost analysis and reporting.. Periodic Audit: Performing regular audits to ensure compliance and optimize performance.. Security and Compliance. Security Strategy: Implementing and monitoring a comprehensive security strategy.. Alert and Threat Management: Overseeing Cloud Security Tools and managing the Threat Detection Dashboard.. Risk Assessment: Conducting threat models and risk assessments for cloud environments.. Security Testing: Supporting security testing, including penetration testing and code analysis, and implementing corrective measures.. Impact Analysis: Evaluating business impacts from security threats and vulnerabilities, communicating risks, and collaborating on security initiatives.. Cloud Operations. Automation and Scripting: Developing and maintaining automation scripts using tools like Terraform, Ansible, and custom scripts for provisioning and managing Cloud resources; implementing Infrastructure as Code (IaC) to automate deployment and configuration processes.. Monitoring and Logging: Setting up and configuring tools such as Cloud Native Monitoring Tools, Prometheus, and Grafana for monitoring, logging, and alerting; creating dashboards and reports to analyze system performance and resource utilization.. Incident Management and Troubleshooting: Responding to and resolving cloud infrastructure incidents; conducting root cause analysis and implementing corrective measures to prevent future incidents.. Collaboration and Support: Working closely with development, operations, and DevOps/SRE teams to provide cloud support and guidance; participating in on-call rotations for 24/7 critical infrastructure support.. Documentation and Training: Creating and maintaining comprehensive documentation for cloud infrastructure, processes, and procedures; providing training to team members on Cloud best practices and service usage.. Additionally, it emphasizes understanding:. Networking Principles and Protocols: Including IP subnetting, routing, firewall rules, and various cloud services such as virtual private cloud, load balancers, cloud DNS, and cloud CDN.. Knowledge Expansion: Continuously updating knowledge on cloud PaaS components.. Proof of Concepts: Delivering demonstrations for new cloud solutions.. Hybrid Cloud: Managing integration across multiple platforms like GCP, on-premises systems, AWS, and Azure.. Required Skills and Qualifications. Education: Bachelor’s degree in Computer Science, Information Technology, or a related field.. Experience:. Minimum of 10+ years of experience in IT infrastructure, with at least 5+ years in a CloudOps role.. Proven experience with Cloud (GCP/AWS/Azure) in a production environment.. Strong background in cloud operations, infrastructure management, and automation.. Technical Skills:. Proficiency in GCP/AWS/Azure services such as Compute Engine, Cloud Storage, VPC, Cloud Functions, Cloud Pub/Sub, and BigQuery.. Experience with automation and configuration management tools such as Terraform, Ansible, and Jenkins.. Strong scripting skills in languages such as Python, Bash, or Go.. Experience with monitoring and logging tools such as Stackdriver, Prometheus, Grafana, and ELK stack.. Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).. Soft Skills:. Strong problem-solving and troubleshooting abilities.. Excellent communication and collaboration skills.. Ability to work independently and in a team-oriented environment.. Preferred Qualifications. Google Cloud Professional certifications (e.g., Google Cloud Professional Cloud Architect, Google Cloud Professional DevOps Engineer).. Experience with DevOps practices and CI/CD pipelines.. Knowledge of security best practices and compliance standards.. Familiarity with other cloud platforms such as AWS or Azure.. What is in it for you?. You get to build the next leading edge connected vehicle platform and internet of things platform. The ability to collaborate with our highly skilled groups who work with cutting edge technologies. High visibility as you support the systems that drive our public facing services. Career growth opportunities. Aeris walks the walk on diversity. We’re a brilliant mix of varying ethnicities, religions, cultures, sexual orientations, gender identities, ages and professional/personal/military experiences – and that’s by design. Diverse perspectives are essential to our culture, innovative process and competitive edge. Aeris is proud to be an equal opportunity employer.. Show more Show less

About Us :. At TELUS Digital, we enable customer experience innovation through spirited teamwork, agile thinking, and a caring culture that puts customers first. TELUS Digital is the global arm of TELUS Corporation, one of the largest telecommunications service providers in Canada. We deliver contact center and business process outsourcing (BPO) solutions to some of the world's largest corporations in the consumer electronics, finance, telecommunications and utilities sectors. With global call center delivery capabilities, our multi-shore, multi-language programs offer safe, secure infrastructure, value-based pricing, skills-based resources and exceptional customer service all backed by TELUS, our multi-billion dollar telecommunications parent.. Required Skills:. Design, develop, and support data pipelines and related data products and platforms.. Design and build data extraction, loading, and transformation pipelines and data products across on-prem and cloud platforms.. Perform application impact assessments, requirements reviews, and develop work estimates.. Develop test strategies and site reliability engineering measures for data products and solutions.. Participate in agile development "scrums" and solution reviews.. Mentor junior Data Engineers.. Lead the resolution of critical operations issues, including post-implementation reviews.. Perform technical data stewardship tasks, including metadata management, security, and privacy by design.. Design and build data extraction, loading, and transformation pipelines using Python and other GCP Data Technologies. Demonstrate SQL and database proficiency in various data engineering tasks.. Automate data workflows by setting up DAGs in tools like Control-M, Apache Airflow, and Prefect.. Develop Unix scripts to support various data operations.. Model data to support business intelligence and analytics initiatives.. Utilize infrastructure-as-code tools such as Terraform, Puppet, and Ansible for deployment automation.. Expertise in GCP data warehousing technologies, including BigQuery, Cloud SQL, Dataflow, Data Catalog,. Cloud Composer, Google Cloud Storage, IAM, Compute Engine, Cloud Data Fusion and Dataproc (good to have).. Qualifications:. Bachelor's degree in Software Engineering, Computer Science, Business, Mathematics, or related field.. 4+ years of data engineering experience.. 2 years of data solution architecture and design experience.. GCP Certified Data Engineer (preferred).. Show more Show less

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Hyderabad, Telangana, India; Pune, Maharashtra, India; Bengaluru, Karnataka, India.Minimum qualifications:. Bachelor’s degree or equivalent practical experience.. 2 years of experience with data structures or algorithms in an academic or industry setting.. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.. Experience in Storage, Cloud Storage, Google Cloud, Distributed Systems.. Preferred qualifications:. Master's degree or PhD in Computer Science or a related technical field.. Experience in computer science, with data structures, algorithms, and software design.. Experience in programming with Python, C++, Java/Kotlin or Golang.. Knowledge of AI/ML with the ability to apply it to solve critical business problems.. About the jobGoogle Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.. In this role, you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.. Responsibilities. Own parts of GCS Fuse which has an increasing customer base and usage due to the AI/ML revolution.. Own, ideate, design, land and iterate on new features and improve performance of existing features, thereby building momentum to expand to more customers.. Research into the existing usage, understanding API and service boundaries, and identifying customer needs (Program Manager support available).. Find existing pain points. Own the design and execution and landing ideas successfully.. Involve interaction with open source software and multiple languages so that the ability to scale beyond the existing toolkit is extremely important.. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .. Show more Show less

Dear Candidate, We are hiring a Cloud Data Scientist to build and scale data science solutions in cloud-native environments. Ideal for candidates who specialize in analytics and machine learning using cloud ecosystems. Key Responsibilities: Design predictive and prescriptive models using cloud ML tools Use BigQuery, SageMaker, or Azure ML Studio for scalable experimentation Collaborate on data sourcing, transformation, and governance in the cloud Visualize insights and present findings to stakeholders Required Skills & Qualifications: Strong Python/R skills and experience with cloud ML stacks (AWS, GCP, or Azure) Familiarity with cloud-native data warehousing and storage (Redshift, BigQuery, Data Lake) Hands-on with model deployment, CI/CD, and A/B testing in the cloud Bonus: Background in NLP, time series, or geospatial analysis Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Reddy Delivery Manager Integra Technologies

4+ years of industry experience in software development Proficiency in Programming languages like Python/Golang Experience with docker, Kubernetes Experience in developing SaaS applications for hyper scalers (AWS, GCP and Azure) are highly desirable Experience with GitHub, Jenkins, Ansible, CI build systems and Automated Testing. Responsibilities As a software engineer, your role would require you to do medium complexity sub-system designs, develop and optimize code, test and validate the subsystem design with high quality keeping customer use case under consideration As part of a larger team, you are required to work closely with team members and leadership in ensuring the overall team objectives are met as ONE team. Your partnership with other team members will be crucial to success of all customer deliverables While working with on customer problems, you are encouraged to actively participate in ideation and design discussion and be part of the innovation avenues Education Masters or bachelors degree in computer science or a related field or equivalent experience.

Dear Candidate, We are hiring a Cloud Application Architect to design cloud-native applications that are scalable, secure, and resilient. Ideal for professionals experienced in modern architectures and distributed systems. Key Responsibilities: Architect cloud-based applications using microservices and serverless patterns Guide teams on best practices in scalability, observability, and fault tolerance Ensure integration with cloud services, APIs, and third-party systems Collaborate with stakeholders on application modernization and cloud-native transitions Required Skills & Qualifications: Proficiency with AWS, Azure, or GCP services for application development Experience in containerized and serverless architectures (Kubernetes, Lambda, Functions) Strong background in backend development (Java, Go, Node.js, or Python) Bonus: Familiarity with API gateways, service mesh, and CI/CD pipelines Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Delivery Manager Integra Technologies

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Google Cloud Machine Learning Services Summary: As an AI/ML Engineer, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying GenAI models, developing cloud or on-prem application pipelines, and ensuring production-ready quality. You will also work with deep learning, neural networks, chatbots, and image processing. Key Responsibilities : A: Demonstrate various Google specific Designs using effective POCs, as per client requirements. B: Identifying applicability of Google Cloud AI services to use cases with ability to project both the business and tech benefits. C: Design, build and productionizes ML models to solve business challenges using Google Cloud technologies D: Lead and guide team of data scientists E: Coordinating and collaborating with cross-functional teams Technical Experience : A: Min 3 + years of experience on GCP AWS ML B: Exposure to Google Gen AI Services C: Exposure to GCP and its Compute, Storage, Data, Network, Security services D: Expert programming skills in any one of Java, Python, Spark E: Knowledge of GKE, Kubeflow on GCP would be good to have G: Experience in Vertex AI for building and managing the ML models H: Experience in implementing MLOps Location: Pan India

Project Role : Cloud Platform Architect Project Role Description : Oversee application architecture and deployment in cloud platform environments -- including public cloud, private cloud and hybrid cloud. This can include cloud adoption plans, cloud application design, and cloud management and monitoring. Must have skills : Google Cloud Platform Architecture Summary: As a Cloud Platform Architect, you will be responsible for overseeing application architecture and deployment in cloud platform environments, including public cloud, private cloud, and hybrid cloud. Your typical day will involve designing cloud adoption plans, managing and monitoring cloud applications, and ensuring cloud application design meets business requirements. Roles & Responsibilities: - Design and implement cloud adoption plans, including public cloud, private cloud, and hybrid cloud environments. - Oversee cloud application design, ensuring it meets business requirements and aligns with industry best practices. - Manage and monitor cloud applications, ensuring they are secure, scalable, and highly available. - Collaborate with cross-functional teams to ensure cloud applications are integrated with other systems and services. - Stay up-to-date with the latest advancements in cloud technology, integrating innovative approaches for sustained competitive advantage. Professional & Technical Skills: - Must To Have Skills: Strong experience in Google Cloud Platform Architecture. - Good To Have Skills: Experience with other cloud platforms such as AWS or Azure. - Experience in designing and implementing cloud adoption plans. - Strong understanding of cloud application design and architecture. - Experience in managing and monitoring cloud applications. - Solid grasp of cloud security, scalability, and availability best practices.

Job Title: Enterprise Solution Specialist III Storage Location: Noida (Hybrid) Shift: Rotational We are hiring a Level 3 Storage Engineer with strong expertise in Pure Storage , Dell EMC Unity , Cisco MDS SAN switches , and AWS storage services . The ideal candidate will manage hybrid storage environments, ensure high availability and security, and drive automation using tools like Python, Ansible, PowerShell , or Terraform . Key Skills: Pure Storage, Dell EMC Unity, Cisco MDS, AWS EBS/S3/FSx, SAN/NAS, NVMe-oF, VMware, Python, Ansible, Terraform, Veeam, Commvault, ITIL

Job Summary NetApp is uniquely placed in the industry and in an enviable position partnering with major hyper scalers (AWS, GCP and Azure) which brings challenges of multi-cloud manageability services required to simplify customer operations and make NetApp offerings competitive as well as cost effective. NetApp Cloud Storage team is embarking on new charter to create manageability services. Bring in your experience and expertise in building best in class SaaS applications, woven with architecture and design that are deployed for multiple hyper scalers. This is an opportunity to challenge yourself with cutting-edge technologies and thrive. Job Requirements • 4+ years of industry experience in software development • Proficiency in Programming languages like Python/Golang • Experience with docker, Kubernetes • Experience in developing SaaS applications for hyper scalers (AWS, GCP and Azure) are highly desirable • Experience with GitHub, Jenkins, Ansible, CI build systems and Automated Testing. Responsibilities • As a software engineer, your role would require you to do medium complexity sub-system designs, develop and optimize code, test and validate the subsystem design with high quality keeping customer use case under consideration • As part of a larger team, you are required to work closely with team members and leadership in ensuring the overall team objectives are met as ONE team. Your partnership with other team members will be crucial to success of all customer deliverables • While working with on customer problems, you are encouraged to actively participate in ideation and design discussion and be part of the innovation avenues Education • Masters or Bachelor’s degree in computer science or a related field or equivalent experience.

Role & responsibilities JOB DESCRIPTION Strong on programming languages like Python , Java Must have one cloud hands-on experience ( GCP preferred) Must have: Experience working with Dockers Must have: Environments managing (e.g venv, pip, poetry, etc.) Must have: Experience with orchestrators like Vertex AI pipelines, Airflow, etc Must have: Data engineering, Feature Engineering techniques Proficient in either Apache Spark or Apache Beam or Apache Flink Must have: Advance SQL knowledge Must be aware of Streaming concepts like Windowing , Late arrival , Triggers etc Should have hands-on experience on Distributed computing Should have working experience on Data Architecture design Should be aware of storage and compute options and when to choose what Should have good understanding on Cluster Optimisation/ Pipeline Optimisation strategies Should have exposure on GCP tools to develop end to end data pipeline for various scenarios (including ingesting data from traditional data bases as well as integration of API based data sources). Should have a Business mindset to understand data and how it will be used for BI and Analytics purposes. Should have working experience on CI/CD pipelines, Deployment methodologies, Infrastructure as a code (eg. Terraform) Good to have, Hands-on experience on Kubernetes Good to have Vector based Database like Qdrant Experience in working with GCP tools like: Storage: CloudSQL , Cloud Storage, Cloud Bigtable, BigQuery, Cloud Spanner, Cloud DataStore, Vector database Ingest : Pub/Sub, Cloud Functions, AppEngine, Kubernetes Engine, Kafka, Micro services Schedule: Cloud Composer, Airflow Processing: Cloud Dataproc, Cloud Dataflow, Apache Spark, Apache Flink CI/CD: Bitbucket+Jenkins / Gitlab, Infrastructure as a tool: Terraform

Job Description: We are seeking a skilled and proactive GCP Data Engineer with strong experience in Python and SQL to build and manage scalable data pipelines on Google Cloud Platform (GCP) . The ideal candidate will work closely with data analysts, architects, and business teams to enable data-driven decision-making. Key Responsibilities: Design and develop robust data pipelines and ETL/ELT processes using GCP services Write efficient Python scripts for data processing, transformation, and automation Develop complex SQL queries for data extraction, aggregation, and analysis Work with tools like BigQuery, Cloud Storage, Cloud Functions , and Pub/Sub Ensure high data quality, integrity, and governance across datasets Optimize data workflows for performance and scalability Collaborate with cross-functional teams to define and deliver data solutions Monitor, troubleshoot, and resolve issues in data workflows and pipelines Required Skills: Hands-on experience with Google Cloud Platform (GCP) Strong programming skills in Python for data engineering tasks Advanced proficiency in SQL for working with large datasets Experience with BigQuery , Cloud Storage , and Cloud Functions Familiarity with streaming and batch processing (e.g., Pub/Sub , Dataflow , or Dataproc )

Develop and maintain C# WinForms desktop applications for seller account management. Integrate Amazon and other eCommerce platform APIs to automate seller operations. Work with SQL Server to handle large-scale data transactions efficiently. Implement inventory, order, and account management features. Optimize database queries and application performance. Troubleshoot and resolve bugs to ensure smooth application functionality. Collaborate with the team to enhance features and ensure application security. Required Skills: Proficiency in C# .NET Framework (WinForms/WPF) Strong SQL Server skills (efficient queries, stored procedures) API integration experience (Amazon Seller API, eCommerce platforms, third-party APIs) Multi-threading & performance optimization in C# Experience with Windows Services & background jobs Understanding of UI/UX best practices for desktop applications Preferred Skills (Nice to Have): Experience with Azure cloud storage Familiarity with Entity Framework & LINQ Experience using logging frameworks (Serilog, NLog, etc)

We are seeking a GCP Data & Cloud Engineer with strong expertise in Google Cloud Platform services, including BigQuery, Cloud Run, Cloud Storage , and Pub/Sub . The ideal candidate will have deep experience in SQL coding , data pipeline development, and deploying cloud-native solutions. Key Responsibilities: Design, implement, and optimize scalable data pipelines and services using GCP Build and manage cloud-native applications deployed via Cloud Run Develop complex and performance-optimized SQL queries for analytics and data transformation Manage and automate data storage, retrieval, and archival using Cloud Storage Implement event-driven architectures using Google Pub/Sub Work with large datasets in BigQuery , including ETL/ELT design and query optimization Ensure security, monitoring, and compliance of cloud-based systems Collaborate with data analysts, engineers, and product teams to deliver end-to-end cloud solutions Required Skills & Experience: 3+ years of experience working with Google Cloud Platform (GCP) Strong proficiency in SQL coding , query tuning, and handling complex data transformations Hands-on experience with: BigQuery Cloud Run Cloud Storage Pub/Sub Understanding of data pipeline and ETL/ELT workflows in cloud environments Familiarity with containerized services and CI/CD pipelines Experience in scripting languages (e.g., Python, Shell) is a plus Strong analytical and problem-solving skills

Job Title: GCP Teradata Engineer Location: Chennai, Bangalore, Hyderabad Experience: 4-6 Years Job Summary: We are seeking a GCP Data & Cloud Engineer with strong expertise in Google Cloud Platform services, including BigQuery, Cloud Run, Cloud Storage , and Pub/Sub . The ideal candidate will have deep experience in SQL coding , data pipeline development, and deploying cloud-native solutions. Key Responsibilities: Design, implement, and optimize scalable data pipelines and services using GCP Build and manage cloud-native applications deployed via Cloud Run Develop complex and performance-optimized SQL queries for analytics and data transformation Manage and automate data storage, retrieval, and archival using Cloud Storage Implement event-driven architectures using Google Pub/Sub Work with large datasets in BigQuery , including ETL/ELT design and query optimization Ensure security, monitoring, and compliance of cloud-based systems Collaborate with data analysts, engineers, and product teams to deliver end-to-end cloud solutions Required Skills & Experience: 4 years of experience working with Google Cloud Platform (GCP) Strong proficiency in SQL coding , query tuning, and handling complex data transformations Hands-on experience with: BigQuery Cloud Run Cloud Storage Pub/Sub Understanding of data pipeline and ETL/ELT workflows in cloud environments Familiarity with containerized services and CI/CD pipelines Experience in scripting languages (e.g., Python, Shell) is a plus Strong analytical and problem-solving skills

Greetings from Getronics! We have permanent opportunities for GCP Data Engineers in Chennai Location . Hope you are doing well! This is Abirami from Getronics Talent Acquisition team. We have multiple opportunities for GCP Data Engineers for our automotive client in Chennai Sholinganallur location. Please find below the company profile and Job Description. If interested, please share your updated resume, recent professional photograph and Aadhaar proof at the earliest to abirami.rsk@getronics.com. Company : Getronics (Permanent role) Client : Automobile Industry Experience Required : 4+ Years in IT and minimum 3+ years in GCP Data Engineering Location : Chennai (Elcot - Sholinganallur) Work Mode : Hybrid Position Description: We are currently seeking a seasoned GCP Cloud Data Engineer with 3 to 5 years of experience in leading/implementing GCP data projects, preferrable implementing complete data centric model. This position is to design & deploy Data Centric Architecture in GCP for Materials Management platform which would get / give data from multiple applications modern & Legacy in Product Development, Manufacturing, Finance, Purchasing, N-Tier supply Chain, Supplier collaboration Design and implement data-centric solutions on Google Cloud Platform (GCP) using various GCP tools like Storage Transfer Service, Cloud Data Fusion, Pub/Sub, Data flow, Cloud compression, Cloud scheduler, Gutil, FTP/SFTP, Dataproc, BigTable etc. • Build ETL pipelines to ingest the data from heterogeneous sources into our system • Develop data processing pipelines using programming languages like Java and Python to extract, transform, and load (ETL) data • Create and maintain data models, ensuring efficient storage, retrieval, and analysis of large datasets • Deploy and manage databases, both SQL and NoSQL, such as Bigtable, Firestore, or Cloud SQL, based on project requirements infrastructure. Skill Required: - GCP Data Engineer, Hadoop, Spark/Pyspark, Google Cloud Platform (Google Cloud Platform) services: BigQuery, DataFlow, Pub/Sub, BigTable, Data Fusion, DataProc, Cloud Compose, Cloud SQL, Compute Engine, Cloud Functions, and App Engine. - 4+ years of professional experience in: o Data engineering, data product development and software product launches. - 3+ years of cloud data/software engineering experience building scalable, reliable, and cost- effective production batch and streaming data pipelines using: Data warehouses like Google BigQuery. Workflow orchestration tools like Airflow. Relational Database Management System like MySQL, PostgreSQL, and SQL Server. Real-Time data streaming platform like Apache Kafka, GCP Pub/Sub. Education Required: Any Bachelors' degree Candidate should be willing to take GCP assessment (1-hour online video test) LOOKING FOR IMMEDIATE TO 30 DAYS NOTICE CANDIDATES ONLY. Regards, Abirami Getronics Recruitment team

We are looking for an experienced and motivated Senior GCP Data Engineer to join our dynamic data team. In this role, you will be responsible for designing, building, and optimizing data pipelines, implementing advanced analytics solutions, and maintaining robust data infrastructure using Google Cloud Platform (GCP) services. You will play a key role in enabling data-driven decision-making and enhancing the performance and scalability of our data ecosystem. Key Responsibilities: Design, implement, and optimize data pipelines using Google Cloud Platform (GCP) services, including Compute Engine , BigQuery , Cloud Pub/Sub , Dataflow , Cloud Storage , and AlloyDB . Lead the design and optimization of schema for large-scale data systems, ensuring data consistency, integrity, and scalability. Work closely with cross-functional teams to understand data requirements and deliver efficient, high-performance solutions. Design and execute complex SQL queries for BigQuery and other databases, ensuring optimal performance and efficiency. Implement efficient data processing workflows and streaming data solutions using Cloud Pub/Sub and Dataflow . Develop and maintain data models, schemas, and data marts to ensure consistency and scalability across datasets. Ensure the scalability, reliability, and security of cloud-based data architectures. Optimize cloud storage, compute, and query performance, driving cost-effective solutions. Collaborate with data scientists, analysts, and software engineers to create actionable insights and drive business outcomes. Implement best practices for data management, including governance, quality, and monitoring of data pipelines. Provide mentorship and guidance to junior data engineers and collaborate with them to achieve team goals. Required Qualifications: Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent work experience). 5+ years of experience in data engineering, with a strong focus on Google Cloud Platform (GCP) . Extensive hands-on experience with GCP Compute Engine , BigQuery , Cloud Pub/Sub , Dataflow , Cloud Storage , and AlloyDB . Strong expertise in SQL for query optimization and performance tuning in large-scale datasets. Solid experience in designing data schemas, data pipelines, and ETL processes. Strong understanding of data modeling techniques, and experience with schema design for both transactional and analytical systems. Proven experience optimizing BigQuery performance, including partitioning, clustering, and cost optimization strategies. Experience with managing and processing streaming data and batch data processing workflows. Knowledge of AlloyDB for managing transactional databases in the cloud and integrating them into data pipelines. Familiarity with data security, governance, and compliance best practices on GCP. Excellent problem-solving skills, with the ability to troubleshoot complex data issues and find efficient solutions. Strong communication and collaboration skills, with the ability to work with both technical and non-technical stakeholders. Preferred Qualifications: Bachelor's/Masters degree in Computer Science, Data Engineering, or a related field. Familiarity with infrastructure as code tools like Terraform or Cloud Deployment Manager . GCP certifications (e.g., Google Cloud Professional Data Engineer or Cloud Architect ).

Job Summary We are seeking a highly experienced Principal Architect with 10 to 14 years of experience to join our team. The ideal candidate will have expertise in Vertex AI Project Stakeholder Management Google APIGEE Risk Management Delivery Management Cloud Storage Google Data Studio and Looker. This role requires domain experience in Utilities and offers a hybrid work model with day shifts. Responsibilities Lead the design and implementation of complex architectural solutions using Vertex AI and Google APIGEE. Oversee project stakeholder management to ensure alignment with business objectives and successful project delivery. Provide risk management strategies to identify assess and mitigate potential risks throughout the project lifecycle. Manage delivery processes to ensure timely and efficient completion of projects. Utilize Cloud Storage solutions to manage and store data securely and efficiently. Develop and maintain data visualizations and reports using Google Data Studio and Looker. Collaborate with cross-functional teams to ensure seamless integration of architectural solutions. Conduct regular reviews and assessments of architectural frameworks to ensure they meet industry standards and best practices. Implement continuous improvement initiatives to enhance the efficiency and effectiveness of architectural processes. Provide technical guidance and mentorship to junior team members. Ensure compliance with regulatory requirements and industry standards in the Utilities domain. Communicate effectively with stakeholders to provide updates on project progress and address any concerns. Drive innovation and stay updated with the latest technological advancements in the field. Qualifications Possess a strong background in Vertex AI and Google APIGEE with hands-on experience. Demonstrate expertise in project stakeholder management and risk management. Have a proven track record in delivery management and cloud storage solutions. Show proficiency in creating data visualizations and reports using Google Data Studio and Looker. Exhibit domain knowledge and experience in the Utilities sector. Display excellent communication and collaboration skills. Hold a relevant certification in cloud architecture or a related field. Certifications Required Google Professional Cloud Architect Certified Project Management Professional (PMP)

Skilled Multiple GCP services - GCS, BigQuery, Cloud SQL, Dataflow, Pub/Sub, Cloud Run, Workflow, Composer, Error reporting, Log explorer etc. Must have Python and SQL work experience & Proactive, collaborative and ability to respond to critical situation Ability to analyse data for functional business requirements & front face customer Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 5 to 7 years of relevant experience working as technical analyst with Big Query on GCP platform. Skilled in multiple GCP services - GCS, Cloud SQL, Dataflow, Pub/Sub, Cloud Run, Workflow, Composer, Error reporting, Log explorer You love collaborative environments that use agile methodologies to encourage creative design thinking and find innovative ways to develop with cutting edge technologies Ambitious individual who can work under their own direction towards agreed targets/goals and with creative approach to work Preferred technical and professional experience Create up to 3 bullets maxitive individual with an ability to manage change and proven time management Proven interpersonal skills while contributing to team effort by accomplishing related results as needed Up-to-date technical knowledge by attending educational workshops, reviewing publications (encouraging then to focus on required skills)