📋 Job Details at a Glance 📍 Location Bangalore, India 🏢 Company IBM 👥 Experience 1-3 years 🎓 Qualification Relevant technical qualification and demonstrated shipping experience 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary Not Disclosed 🏢 Industry Technology 🛠 Key Skills Azure Hybrid Cloud AI Data Platforms Data Engineer-Data Platforms-Azure at IBM — Full Details & How to Apply IBM is seeking a Data Engineer-Data Platforms-Azure in Bangalore, India for a hybrid role with direct involvement in client projects focused on hybrid cloud and AI solutions. This position offers hands-on experience with Azure , Hybrid Cloud , and AI technologies as part of real-world data platform development. This Data Engineer-Data Platforms-Azure role is critical for building and maintaining data platforms that support AI and hybrid cloud environments. The responsibilities involve working directly with clients to implement data infrastructure solutions using Azure and hybrid cloud environments. The role emphasizes technical execution in data platform engineering, ensuring data pipelines and systems are scalable and reliable for AI-driven applications. The job posting identifies IBM as a leader in technology consulting, with this role embedded within a team focused on hybrid cloud and AI solutions. The position involves close collaboration with clients to shape their hybrid cloud and AI journeys, highlighting the importance of data engineering in these client transformations. The role is part of IBM ’s broader technology services in data platform development. 2023, 2024, 2025, 2026 graduates are eligible. Candidates must hold a relevant technical qualification and demonstrated shipping experience and have 1-3 years of experience . The salary is Not Disclosed . Candidates will gain practical experience with Azure , Hybrid Cloud , AI , and Data Platforms . This role provides foundational exposure to enterprise-grade cloud technologies, supporting career progression into advanced data engineering and cloud architecture roles within technology firms. 📊 Role Difficulty: Medium | Competition Level: Medium | Fresher Friendly: No NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. Apply online before the opportunity closes. Search for Data Engineer-Data Platforms-Azure jobs , explore IBM recruitment opportunities, and find Bangalore, India jobs in technology. Apply online to access this role. Job Role & Responsibilities The Data Engineer-Data Platforms-Azure role at IBM ensures reliable data pipelines in hybrid cloud environments by building scalable data platforms on Azure , enabling real-time analytics and AI-driven insights for enterprise clients. Develop Azure -based data platforms using Azure Data Factory and Azure Synapse to ingest, transform, and serve structured and semi-structured data for client applications. Implement hybrid cloud architectures using Azure Virtual Machines and Azure Arc to connect on-premises data sources with cloud-based data lakes and processing services. Collaborate with client stakeholders to define data requirements and deliver tailored data platforms using Azure Data Lake Storage and Azure SQL Database for performance and scalability. Monitor data quality and performance metrics such as data ingestion latency, error rates, and throughput using Azure Monitor and Azure Data Factory logs to ensure platform stability. Maintain existing data systems and codebases using Azure DevOps pipelines and Git repositories to ensure version control and reproducible deployments. Document end-to-end data workflows and operational procedures in Confluence or Azure Documentation Center to support audit trails and client reporting. Troubleshoot data pipeline failures using Azure Log Analytics and Azure Monitor to identify root causes and implement fixes within 30-minute SLAs. Support AI model training pipelines by integrating AI components using Azure Machine Learning and Azure Databricks to enable predictive analytics on client datasets. This role demands direct ownership of data platform performance and hybrid cloud integration, with measurable impact on data quality and client satisfaction metrics. Required Skills & Technical Competencies The role requires a strong foundation in Azure , hybrid cloud , AI , and data platforms to execute technical tasks in production environments. Technical Skills Azure — intermediate — used to deploy and manage data platforms via Azure Data Factory, Azure Blob Storage, and Azure SQL Database in client environments. Hybrid Cloud — intermediate — applied to integrate on-premises databases with Azure using Azure Arc and Azure Virtual Network configurations for secure data access. AI — entry — leveraged in AI model training pipelines using Azure Machine Learning to process client datasets and generate predictive outputs. Data Platforms — intermediate — required to understand architecture, data flow, and operational design of enterprise-level data platforms built on Azure . When preparing a resume, emphasize hands-on experience with Azure Data Factory , hybrid cloud integration , and data quality monitoring tools in real-world projects. Eligibility Criteria This role is designed for candidates with a relevant technical qualification , 1–3 years of experience , and a demonstrated ability to ship data solutions in hybrid cloud environments. Must hold a relevant technical qualification such as a B.Tech in Computer Science, Data Science, or Information Technology. Must be from eligible batches: 2023, 2024, 2025, or 2026 . Must have 1–3 years of hands-on experience in data engineering or related technical roles. Minimum CGPA of 6.0 or equivalent in undergraduate studies. Must have a portfolio demonstrating data platform development using Azure or hybrid cloud technologies. Must have practical experience with data quality and performance monitoring in real-world data pipelines. Documentation & Portfolio Requirements Resumes must include a clear section on data platform projects, listing tools used (e.g., Azure Data Factory), data sources, and measurable outcomes such as data latency reduction or error rate improvement. Include a portfolio with at least one project showing end-to-end data platform deployment on Azure with hybrid cloud integration and performance metrics reported in a structured format. Salary for Data Engineer-Data Platforms-Azure at IBM 💰 Compensation Not Disclosed The advertised compensation for the Data Engineer-Data Platforms-Azure role at IBM is Not Disclosed . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Recommended Courses & Preparation Tips for Data Engineer-Data Platforms-Azure Upskilling with the right resources significantly improves your chances of selection for this specific role by aligning your skills with the job requirements. Recommended Courses & Resources Azure — Mastering Azure is essential for data engineering tasks in this role. Hybrid Cloud — Understanding Hybrid Cloud solutions is crucial for effective data platform management. KodNest — This course enhances your AI skills, vital for data-driven decision-making. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Applying without demonstrating experience with Azure — Ensure to include relevant projects. ❌ Using a generic resume — Tailor it to the specific responsibilities outlined in the job posting. ❌ Listing Azure or Hybrid Cloud without details — Provide context on where you applied these technologies. ❌ Ignoring the experience requirement of 1-3 years — This may disqualify you from consideration. ❌ Adding unrelated technologies — Focus on relevant skills to strengthen your application. ❌ Failing to verify the official Apply URL — Always check the job details before submission. Before You Apply — Checklist ✅ Confirm the job title, company, location, work mode, and experience requirement. ✅ Check that the candidate meets the supplied qualification criteria. ✅ Verify eligibility against the supplied eligible batches and experience requirement. ✅ Add relevant supplied JD keywords naturally to the resume. ✅ Highlight projects or experience related to the supplied technologies and responsibilities. ✅ Remove unsupported technologies, achievements, or experience claims. ✅ Open and verify the supplied Apply URL before submitting the application. ✅ Save the job details, application date, and role-specific resume version for tracking. Resume Tailoring & ATS Keywords for Data Engineer-Data Platforms-Azure Optimizing your resume for ATS is crucial for ensuring your application is seen by hiring managers for this role. ATS Keywords to Include Azure Hybrid Cloud AI Data Platforms Data Engineering Collaboration Monitoring Troubleshooting Documentation Client Engagement Performance Metrics Data Quality Resume Tips for This Role Highlight your experience with Azure prominently on your resume, as it is a key requirement. Showcase any projects or responsibilities related to Hybrid Cloud and AI to align with the job description. Include a project that involved data platforms , demonstrating practical application of your skills. Use exact keywords from the job description naturally to improve ATS alignment. Avoid adding unsupported claims or technologies that you cannot substantiate. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro Tip: Avoid including unrelated experiences or technologies that do not match the job description to maintain focus. How to Apply for Data Engineer-Data Platforms-Azure at IBM Apply Now — IBM Open the official Apply URL and confirm the job title and company match the position you're applying for. Prepare a resume that aligns with the required skills, responsibilities, qualifications, and experience listed in the job description. Complete the official application form accurately, ensuring all information is truthful and avoiding unsupported claims. Submit the application and save the confirmation or application reference number if provided by the portal. Record the application date and monitor the official company portal or your registered email for updates. Applications are reviewed on a rolling basis — early submission is recommended. Apply Now — IBM NexisGrow.com does not charge any fees for job applications. IBM IBM is a technology consulting firm based in Bangalore, India. This Data Engineer-Data Platforms-Azure role operates in a hybrid work mode and supports clients in the technology industry. The position focuses on building data platforms within hybrid cloud and AI environments. The team collaborates with engineers and clients to shape hybrid cloud and AI solutions. They work on Azure , hybrid cloud , and AI technologies to deliver scalable data platforms . This effort supports real-world client needs across industries. This role is part of IBM ’s broader focus on hybrid cloud and AI solutions. It enables early-career professionals to gain hands-on experience with Azure and hybrid cloud technologies. Company Details Industry Technology Location Bangalore, India Connect With Us Careers Apply Now Website 🔗 careers.ibm.com Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for this role? Eligibility Tap to expand + Answer Candidates with a relevant technical qualification and 1-3 years of experience from the eligible batches of 2023, 2024, 2025, and 2026 can apply. ? What technical skills are most important for this role? Skills Tap to expand + Answer The most important skills are Azure, Hybrid Cloud, AI, and Data Platforms. ? What is the expected salary for this position? Salary Tap to expand + Answer Salary Display is Not Disclosed. ? What should I expect after applying? Hiring Process Tap to expand + Answer The exact hiring stages are not specified in the job posting. ? How should I prepare for the interview? Preparation Tap to expand + Answer 1. Review Azure and Hybrid Cloud concepts. 2. Prepare examples of data engineering projects. 3. Understand AI applications in data. 4. Familiarize yourself with data platform architectures. 5. Practice collaboration scenarios with clients. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer This role operates in a Hybrid work mode, allowing flexibility between remote and onsite work. ? What career exposure can this role provide? Growth Tap to expand + Answer This role provides exposure to Azure, Hybrid Cloud technologies, and client collaboration, which are valuable for career development in data engineering. ? What should I highlight in my resume for this role? Resume Tap to expand + Answer Highlight Azure, Hybrid Cloud, AI, data engineering projects, and relevant qualifications. ? Is there a last date to apply? Application Tap to expand + Answer Not specified in the job posting. ? Is there a probation period? Probation Tap to expand + Answer Not specified in the job posting. ? What is the work environment like for this role? Culture Tap to expand + Answer The role involves collaboration with clients and internal teams, focusing on shaping technology solutions. ? Can freshers apply for this role? Fresher Tap to expand + Answer No, as the experience requirement is 1-3 years. 🔗 Explore More on NexisGrow More jobs in Bangalore Browse all Tech jobs Latest Fresher jobs More jobs at IBM Work From Home jobs Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. NexisGrow.com charges zero application fees. 👉 Apply Now — Official Link NexisGrow.com does not charge any application or registration fees. Beware of fraudulent offers. Naukri ki baat, NexisGrow ke saath • NexisGrow.com