📋 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 SnowFlake Hybrid Cloud AI Data Platforms Data Engineer-Data Platforms-SnowFlake at IBM — Full Details & How to Apply IBM is seeking a Data Engineer-Data Platforms-SnowFlake in Bangalore, India to support hybrid cloud and AI initiatives with hands-on work in SnowFlake and data platform development. This role is part of IBM ’s Data Platforms team, where candidates will contribute to real-world data engineering projects using industry-standard tools and platforms. This Data Engineer-Data Platforms-SnowFlake position involves managing and optimizing data platforms using SnowFlake , a key component in IBM ’s hybrid cloud and AI workflows. The role directly supports client data strategy development by enabling scalable, secure, and efficient data pipelines. Candidates will work with hybrid cloud environments and integrate AI capabilities into data infrastructure, ensuring data is accessible and actionable across enterprise systems. The job posting identifies this role as part of IBM ’s Data Platforms team, focused on hybrid cloud and AI projects. The position emphasizes technical execution and platform delivery, aligning with IBM ’s focus on data engineering in cloud environments. This role is embedded within a team that supports client data strategy through practical engineering solutions. 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 SnowFlake , hybrid cloud , and AI technologies. This role builds a strong foundation in data engineering and enables progression into advanced data platform and cloud architecture roles. It offers a clear path for technical growth within IBM ’s data ecosystem. 📊 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-SnowFlake jobs , IBM recruitment , and Bangalore, India jobs on our platform. Job Role & Responsibilities The core mission of this role is to build and maintain scalable data pipelines in SnowFlake within IBM ’s hybrid cloud infrastructure, ensuring data integrity through real-time monitoring of data quality metrics and performance benchmarks. This position directly supports enterprise-level data platform operations using AI-driven analytics and hybrid cloud integration. Develop end-to-end data pipelines in SnowFlake using SQL and stored procedures to process structured and semi-structured data from source systems. Optimize data workflows in SnowFlake by tuning query performance and leveraging data platform metadata to reduce latency by at least 20%. Integrate data across on-premise and cloud environments using hybrid cloud architectures to ensure seamless data flow between legacy and modern systems. Collaborate with business stakeholders to gather data requirements and translate them into data platform solutions using structured data models and schema design. Monitor data quality and performance metrics such as row count accuracy, execution time, and error rates in SnowFlake to maintain operational standards. Maintain existing data platforms by performing routine updates, patching, and ensuring compliance with IBM ’s data governance policies in hybrid cloud environments. Document data processing workflows and generate performance reports in SnowFlake to support audit trails and operational visibility. Diagnose data access failures and resolve issues using AI-powered anomaly detection tools to improve data accessibility and reduce downtime. This role demands direct ownership of data pipeline performance, with measurable impact on data quality , latency , and system uptime across IBM ’s enterprise data infrastructure. Required Skills & Technical Competencies Candidates must demonstrate proficiency in SnowFlake , hybrid cloud , AI , and data platforms to execute core technical tasks effectively. These skills are applied in real-world data engineering workflows with measurable outcomes. Technical Skills SnowFlake — intermediate — used to design, implement, and optimize data pipelines with SQL, stage management, and warehouse performance tuning. Hybrid Cloud — intermediate — applied to integrate data across on-premise databases and cloud-based SnowFlake environments using secure connectivity protocols. AI — entry — leveraged to support data processing through AI-driven anomaly detection and predictive data validation in data platforms . Data Platforms — intermediate — used to manage end-to-end data lifecycle operations including ingestion, storage, and analytics in SnowFlake and hybrid environments. When showcasing these skills, emphasize hands-on implementation of SnowFlake queries, hybrid cloud integration scripts, and data platform performance reports in your resume and technical interviews. Eligibility Criteria This role is designed for candidates with a relevant technical qualification , 1–3 years of shipping experience , and a demonstrated ability to work with data platforms in real-world environments. It is targeted at students with a strong foundation in data engineering tools. 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 . Minimum of 1 year and maximum of 3 years of shipping experience in data engineering or related domains is required. CGPA of at least 6.0 is expected for admission consideration in this role. Must submit a portfolio demonstrating data pipeline development using SnowFlake and hybrid cloud integration. Portfolio must include at least two working data workflows with performance metrics and error logs. Documentation & Portfolio Requirements Your resume must include a dedicated section titled “Data Engineering Projects” with clear descriptions of SnowFlake and hybrid cloud implementations, including tools used, data sources, and performance outcomes. For this role, prioritize showcasing a portfolio with a SnowFlake data pipeline that processes real-world data, includes data quality checks, and demonstrates measurable performance improvements in execution time or data accuracy. Salary for Data Engineer-Data Platforms-SnowFlake at IBM 💰 Compensation Not Disclosed The advertised compensation for the Data Engineer-Data Platforms-SnowFlake 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-SnowFlake Upskilling with the right resources significantly enhances your chances of selection for this specific role, ensuring you meet the technical requirements and stand out among candidates. Recommended Courses & Resources Hybrid Cloud — This course provides essential knowledge for working with hybrid cloud technologies relevant to the role. KodNest — Gain practical skills in data engineering that are directly applicable to the responsibilities of this 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 SnowFlake — Ensure to include relevant projects. ❌ Using a generic resume — Tailor it to the specific responsibilities outlined in the job description. ❌ Listing technologies like SnowFlake without details — Provide context on where they were applied in your experience. ❌ Ignoring the specified experience requirement — Verify that you meet the 1-3 years requirement to avoid disqualification. ❌ Adding unrelated technologies or unsupported claims — Focus on relevant skills to increase ATS compatibility. ❌ 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-SnowFlake Optimizing your resume for ATS is crucial for this role, as it ensures your application is seen by hiring managers and aligns with the job requirements. ATS Keywords to Include Data Engineer SnowFlake Hybrid Cloud AI Data Platforms Data Quality Collaboration Data Management Data Pipelines Performance Monitoring Troubleshooting Documentation Resume Tips for This Role Highlight your experience with SnowFlake prominently, as it is a critical skill for this role. Showcase any practical experience with hybrid cloud technologies and data platforms . Consider including projects that involved data engineering or the use of SnowFlake . Use relevant keywords from the job description naturally to ensure ATS alignment. Avoid including 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: Do not include unrelated work experience or unsupported technologies in your resume for this role. How to Apply for Data Engineer-Data Platforms-SnowFlake 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 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 company based in Bangalore, India. This Data Engineer role operates in a hybrid work mode and supports data platforms within IBM 's consulting services. The role is part of a broader industry-focused effort in technology innovation. The team works on hybrid cloud and AI initiatives, collaborating with engineers and business stakeholders. They build and manage data platforms using SnowFlake , supporting clients in their digital transformation journeys. This role supports IBM ’s focus on helping clients advance in hybrid cloud and AI. It enables early-career professionals to gain hands-on experience with SnowFlake and data platforms . This role offers early-career exposure to SnowFlake , hybrid cloud , and AI technologies. It provides foundational experience in data platforms within real-world client environments. 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, specifically from the eligible batches of 2023, 2024, 2025, and 2026. ? What technical skills are most important for this role? Skills Tap to expand + Answer SnowFlake, Hybrid Cloud, and AI are the most important skills for this Data Engineer position. ? What is the expected salary for this position? Salary Tap to expand + Answer Salary Display: Not Disclosed. This is the only salary information available. ? 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 SnowFlake documentation. 2. Understand hybrid cloud concepts. 3. Prepare examples of data engineering projects. 4. Familiarize yourself with AI applications in data. 5. Practice collaboration scenarios with stakeholders. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer This role operates in a hybrid work mode, allowing for both remote and onsite work. ? What career exposure can this role provide? Growth Tap to expand + Answer This role provides exposure to SnowFlake and hybrid cloud technologies, enhancing skills in data engineering and client collaboration. ? What should I highlight in my resume for this role? Resume Tap to expand + Answer Highlight skills in SnowFlake, hybrid cloud technologies, relevant projects, and any experience in data engineering. ? 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, but specific culture details are not provided. ? 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