4 Cloud Scheduler Jobs

Introduction A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe. Youll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio including Software and Red Hat. Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, youll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience. In this role, youll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology. Your role and responsibilities As an Application Developer, you will lead IBM into the future by translating system requirements into the design and development of customized systems in an agile environment. The success of IBM is in your hands as you transform vital business needs into code and drive innovation. Your work will power IBM and its clients globally, collaborating and integrating code into enterprise systems. You will have access to the latest education, tools and technology, and a limitless career path with the worlds technology leader. Come to IBM and make a global impact! IBMs Cloud Services are focused on supporting clients on their cloud journey across any platform to achieve their business goals. It encompasses Cloud Advisory, Architecture, Cloud Native Development, Application Portfolio Migration, Modernization, and Rationalization as well as Cloud Operations. Cloud Services supports all public/private/hybrid Cloud deployments: IBM Bluemix/IBM Cloud/Red Hat/AWS/ Azure/Google and client private environments. Cloud Services has the best Cloud developer architect Complex SI, Sys Ops and delivery talent delivered through our GEO CIC Factory model. As a member of our Cloud Practice you will be responsible for defining and implementing application cloud migration, modernisation and rationalisation solutions for clients across all sectors. You will support mobilisation and help to lead the quality of our programmes and services, liaise with clients and provide consulting services including: Create cloud migration strategies defining delivery architecture, creating the migration plans, designing the orchestration plans and more. Assist in creating and executing of migration run books Evaluate source cloud (Physical Virtual and Cloud) and target Workloads Required education Bachelors Degree Preferred education Masters Degree Required technical and professional expertise GCP using pub sub, big query, dataflow, cloud workflow/cloud scheduler, cloud run, data proc, Cloud Function Cloud data engineers with GCP PDE certification and working experience with GCP. Building end to end data pipelines in GCP using pub sub, big query, dataflow, cloud workflow/cloud scheduler, cloud run, data proc, Cloud Function Experience in logging and monitoring of GCP services and Experience in Terraform and infrastructure automation. Expertise in Python coding language Develops data engineering solutions on Google Cloud ecosystem and Supports and maintains data engineering solutions on Google Cloud ecosystem Preferred technical and professional experience Stay updated with the latest trends and advancements in cloud technologies, frameworks, and tools. Conduct code reviews and provide constructive feedback to maintain code quality and ensure adherence to best practices. Troubleshoot and debug issues, and deploy applications to the cloud platform

3+ years experienced engineer who has worked on GCP environment and its relevant tools/services. (Big Query, Data Proc, Data flow, Cloud Storage, Terraform, Tekton , Cloudrun , Cloud scheduler, Astronomer/Airflow, Pub/sub, Kafka, Cloud Spanner streaming etc) 1 or 2 + years of strong experience in Python development (Object oriented/Functional Programming, Pandas, Pyspark etc) 1 or 2 + years of strong experience in SQL Language (CTEs, Window functions, Aggregate functions etc)

5+ years of experience in Java/J2EE development, including strong object-oriented design principles. --ERP implementation exp preferred. MBC and BTP knowledge appreciated Expertise in Java 8 and above, including functional programming concepts. Expertise in Spring Platform (Spring MVC, Spring Boot, Spring JDBC, Spring Cloud) and RESTful/SOAP web services. In-depth knowledge of GCP services (Cloud Run, Redis, PubSub, Kubernetes, Cloud Scheduler). Experience with Enterprise SSO technology Mandatory Key Skills Java*,functional programming,object-oriented design,SOAP web services,J2EE development,ERP implementation,Java 8,Spring Platform,MBC,BTP,RESTful,GCP services

Data Engineer (SaaS-Based) || 5-7 years || NOIDA || 3 pm-12 AM IST shift Location: Noida (In-office/Hybrid; Client site if required) Experience: 5-7 years Type: Full-Time | Immediate Joiners Preferred Shift: 3 PM to 12 AM IST Client: Leading Canadian-based Tech Company Good to have: GCP Certified Data Engineer Overview of the role: As a GCP Data Engineer, you'll focus on solving problems and creating value for the business by building solutions that are reliable and scalable to work with the size and scope of the company. You will be tasked with creating custom-built pipelines as well as migrating on-prem data pipelines to the GCP stack. You will be part of a team tackling intricate problems by designing and deploying reliable and scalable solutions tailored to the company's data landscape. Required Skills: 5+ years of industry experience in software development, data engineering, business intelligence, or related field with experience in manipulating, processing, and extracting value from datasets. Extensive experience in doing requirement discovery, analysis and data pipeline solution design. Design, build and deploy internal applications to support our technology life cycle, collaboration and spaces, service delivery management, data and business intelligence among others. Building Modular code for multi usable pipeline or any kind of complex Ingestion Framework used to ease the job to load the data into Datalake or Data Warehouse from multiple sources. Work closely with analysts and business process owners to translate business requirements into technical solutions. Coding experience in scripting and languages (Python, SQL, PySpark). Expertise in Google Cloud Platform (GCP) technologies in the data warehousing space (BigQuery, GCP Workflows, Cloud Scheduler, Secret Manager, Batch, Cloud Logging, Cloud SDK, Google Cloud Storage, IAM). Exposure of Google Dataproc and Dataflow. Maintain highest levels of development practices including: technical design, solution development, systems configuration, test documentation/execution, issue identification and resolution, writing clean, modular and self-sustaining code, with repeatable quality and predictability. Understanding CI/CD Processes using Pulumi, GitHub, Cloud Build, Cloud SDK, Docker Experience with SAS/SQL Server/SSIS is an added advantage. Qualifications: Bachelor's degree in Computer Science or related technical field, or equivalent practical experience. GCP Certified Data Engineer (preferred) Excellent verbal and written communication skills with the ability to effectively advocate technical solutions to other engineering teams and business audiences. Job Type: Full-time