📋 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 Databricks Hybrid cloud AI Data Platforms Data Engineer-Data Platforms-Databricks at IBM — Full Details & How to Apply IBM is seeking a Data Engineer-Data Platforms-Databricks in Bangalore, India for a hybrid role with direct involvement in hybrid cloud and AI projects using Databricks . This position supports real-world data platform development and client-facing AI initiatives within IBM ’s technology operations. This Data Engineer-Data Platforms-Databricks role involves building and maintaining data platforms using Databricks , with a focus on enabling hybrid cloud and AI workflows. The engineer will contribute to infrastructure that powers client AI solutions, ensuring data pipelines are scalable, secure, and integrated across hybrid environments. The job posting identifies this role as part of IBM ’s technology operations, where professionals work on hybrid cloud and AI initiatives. The position is embedded in a team that supports client data engineering needs through practical, deployed solutions in data platforms . 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 . Applicants will gain hands-on experience with Databricks , hybrid cloud , and AI technologies. This role builds a strong foundation in data platform engineering and offers progression into more complex data architecture and AI integration roles within technology environments. 📊 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. Explore more Data Engineer-Data Platforms-Databricks jobs , IBM recruitment , and Bangalore, India jobs on our platform. Job Role & Responsibilities The Data Engineer-Data Platforms-Databricks role at IBM focuses on building scalable data platforms using Databricks to support AI workloads in hybrid cloud environments. This position ensures data pipelines deliver reliable, high-throughput outputs for real-time AI inference and model training. Develop end-to-end Data Platforms using Databricks to ingest, process, and serve structured and semi-structured data from diverse sources in production environments. Implement hybrid cloud architectures to connect on-premises data systems with Databricks clusters, enabling secure and scalable data access across environments. Collaborate with business stakeholders to define data requirements and translate them into AI -enabled data workflows using Databricks notebooks and pipelines. Monitor data quality and performance metrics such as latency , throughput , and error rates to ensure consistent data delivery and system reliability. Maintain existing data systems and codebases in Databricks , including notebook execution, job scheduling, and metadata management using Delta Lake and Spark SQL . Document data processing workflows and data platform configurations to support audit trails and enable accurate reporting for compliance and performance analysis. Diagnose and resolve data pipeline failures using Databricks logs, error tracking, and Spark execution metrics to restore data flow within SLA thresholds. Optimize hybrid cloud data workflows by tuning Databricks cluster configurations and storage layer performance to reduce processing time by at least 20% . This role demands direct ownership of Databricks environments and hybrid cloud data pipelines, with measurable impact on AI model performance and data delivery timelines. Required Skills & Technical Competencies The role requires a strong technical foundation in Databricks , hybrid cloud integration, and AI -driven data platforms to execute core responsibilities. Candidates must demonstrate hands-on experience with Data Platforms and real-world implementation of data engineering solutions. Technical Skills Databricks — intermediate — used to build and manage data pipelines , execute Spark jobs, and manage Delta Lake tables in production environments. Hybrid cloud — intermediate — applied to integrate on-premises databases with Databricks via secure connections, enabling cross-environment data access and backup. AI — entry — leveraged to support data workflows that feed into machine learning models, including data preprocessing and feature engineering in Databricks . Data Platforms — intermediate — essential for designing, deploying, and maintaining end-to-end data architecture with lifecycle management of data assets. When preparing your resume, emphasize specific Databricks workflows, hybrid cloud integration tasks, and measurable outcomes such as latency reduction or data throughput improvement . Eligibility Criteria This role is designed for candidates with a relevant technical qualification and 1–3 years of hands-on experience in data engineering or data platform development. It targets individuals who have worked on live data pipelines or Databricks environments. Must hold a relevant technical qualification such as a B.Tech in Computer Science, Data Science, or a related field. Eligible batches are 2023 , 2024 , 2025 , and 2026 only. Minimum of 1 year of practical experience in data engineering or Databricks environments is required. CGPA or academic performance is not specified, but demonstrated project work is expected. Must have a portfolio showcasing Databricks data pipelines, hybrid cloud integrations, or AI -supported data workflows. Experience with Delta Lake , Spark SQL , or data quality monitoring tools is preferred. Documentation & Portfolio Requirements Your resume must include a clear section on Databricks projects, listing specific tools used (e.g., Delta Lake , Spark SQL ), data sources, and performance metrics such as latency or throughput . Include links to GitHub or live dashboards where applicable. For this role, prioritize showcasing a Databricks notebook that processes real data, integrates with a hybrid cloud source, and outputs a data quality report with measurable latency or error rate improvements. Salary for Data Engineer-Data Platforms-Databricks at IBM 💰 Compensation Not Disclosed The advertised compensation for the Data Engineer-Data Platforms-Databricks 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-Databricks Upskilling with the right resources significantly enhances your chances of selection for this specific role by aligning your skills with job requirements. Recommended Courses & Resources Databricks — Gain hands-on experience with Databricks , a key requirement for this role. KodNest — Develop foundational skills in data engineering and hybrid cloud technologies relevant to the position. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Applying without demonstrating experience with Databricks — ensure to include specific projects or tasks. ❌ Using a generic resume — tailor it to the specific responsibilities outlined in the job description. ❌ Listing technologies like hybrid cloud without detail — provide context on where they were applied in your experience. ❌ Ignoring the experience requirement — do not apply if you have less than 1 year of relevant experience. ❌ Adding unrelated technologies or unsupported claims — avoid increasing ATS keywords without relevance. ❌ Failing to check the official Apply URL — verify 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-Databricks Optimizing your resume for ATS is crucial for ensuring it gets noticed for this role. ATS Keywords to Include Databricks Hybrid cloud AI Data Platforms Data Engineer Bangalore Technical qualification Full Time 1-3 years experience 2023 batch 2024 batch 2025 batch Resume Tips for This Role Highlight your experience with Databricks prominently on your resume. Emphasize any experience or projects related to hybrid cloud technologies. Showcase a project that involved data engineering or AI to demonstrate relevant skills. Use exact keywords from the job description naturally in your resume. Avoid including unsupported technologies or experiences 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 irrelevant experiences or unsupported claims that do not align with the job requirements. How to Apply for Data Engineer-Data Platforms-Databricks at IBM Apply Now — IBM Open the official Apply URL and confirm the job title and company matches the position you're applying for. Prepare a resume that aligns with the required skills, responsibilities, qualifications, and experience outlined in the job posting. 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 company based in Bangalore, India. This Data Engineer-Data Platforms-Databricks role operates in a hybrid work mode and supports clients in data platforms within the technology industry. The team collaborates with engineers and business stakeholders to deliver data solutions using Databricks , hybrid cloud , and AI technologies. They focus on enabling effective data platforms in real-world business environments. This role supports IBM ’s work in helping leading companies navigate their hybrid cloud and AI journeys through practical data engineering. Early-career professionals gain exposure to Databricks , hybrid cloud , and AI in data platforms through hands-on experience with real-world data solutions. 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 from the batches of 2023, 2024, 2025, and 2026 with 1-3 years of experience. ? What technical skills are most important for this role? Skills Tap to expand + Answer Databricks, hybrid cloud, AI, and data platforms are the most important skills for this role. ? 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 Databricks documentation. 2. Understand hybrid cloud concepts. 3. Prepare examples of AI projects. 4. Familiarize yourself with data platforms. 5. Practice problem-solving scenarios. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer This role is hybrid, located in Bangalore, India. ? What career exposure can this role provide? Growth Tap to expand + Answer This role provides exposure to data engineering, hybrid cloud technologies, and AI projects, enhancing technical skills. ? What should I highlight in my resume for this role? Resume Tap to expand + Answer Highlight skills in Databricks, hybrid cloud, AI, and relevant project experience. ? 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 engineers and business stakeholders to deliver data solutions. ? Can freshers apply for this role? Fresher Tap to expand + Answer No, 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