📋 Job Details at a Glance 📍 Location GURGAON, IN 🏢 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 to work in GURGAON, IN , with a key opportunity to gain hands-on experience in data platform management using SnowFlake and hybrid cloud technologies . This role is critical for building and maintaining data platforms that support hybrid cloud and AI initiatives. The position involves leveraging SnowFlake for data orchestration and management, ensuring data quality and performance across distributed environments. Candidates will work directly on infrastructure that enables clients to manage data workflows in hybrid cloud settings, with a focus on scalability and integration with AI tools. The job posting identifies IBM as a technology leader focused on long-term client relationships and collaboration across industries. This Data Engineer-Data Platforms-SnowFlake role operates within IBM ’s technology consulting framework, where technical execution and client outcomes are aligned through structured data platform development. 2023, 2024, 2025, 2026 graduates are eligible. Candidates must hold a relevant technical qualification and demonstrated shipping experience . The role requires 1-3 years of experience . The salary is Not Disclosed . Applicants will gain practical experience with SnowFlake , hybrid cloud , and AI technologies. This role provides foundational exposure to data platform engineering, which can lead to advancement into senior data roles or specialized cloud data positions within technology firms. 📊 Role Difficulty: Medium | Competition Level: Medium | Fresher Friendly: Partially 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 GURGAON, IN jobs on our platform to find relevant opportunities. Job Role & Responsibilities The Data Engineer at IBM will design and operate SnowFlake data pipelines to process large-scale datasets, ensuring data quality and performance metrics are met in hybrid cloud environments. This role directly supports data platforms by enabling scalable, secure, and real-time data access across enterprise systems. Develop SnowFlake pipelines to ingest, transform, and load data from heterogeneous sources into data platforms with defined ETL workflows and data quality validation rules. Implement hybrid cloud architecture to connect on-premise databases with cloud-based SnowFlake instances, enabling seamless data movement and performance monitoring . Collaborate with business units to define data requirements and deliver AI -driven insights through structured data models in data platforms . Monitor data quality metrics such as completeness, accuracy, and consistency using SnowFlake built-in dashboards and performance tracking tools. Perform routine maintenance of SnowFlake and hybrid cloud infrastructure to ensure system reliability and uptime of data services. Document end-to-end data workflows, including data ingestion and storage processes, and generate operational reports for stakeholders using SnowFlake metadata tools. Diagnose and resolve data processing failures in SnowFlake environments, using error logs and query performance metrics to deliver actionable fixes. Optimize data platform performance by tuning SnowFlake query execution plans and leveraging AI models for predictive data load scheduling. This role demands direct ownership of data pipeline operations, where every performance metric and data quality outcome is measurable and impacts end-user decision-making in hybrid cloud environments. Required Skills & Technical Competencies The role requires a strong foundation in SnowFlake , hybrid cloud , AI , and data platforms to execute technical tasks with precision and consistency. Candidates must demonstrate hands-on experience with these technologies in real-world data engineering scenarios. Technical Skills SnowFlake — intermediate — used to build and manage data pipelines, enforce data governance, and execute query performance tuning in production environments. Hybrid cloud — intermediate — applied to integrate on-premise systems with SnowFlake via secure connections, ensuring data availability and operational flexibility . AI — entry — leveraged to support data-driven decision-making by integrating machine learning models into data platforms for predictive analytics. Data Platforms — intermediate — required to understand data architecture, including schema design, storage layer management, and data lifecycle operations in SnowFlake . When showcasing these skills, emphasize specific SnowFlake queries, hybrid cloud integration scripts, or AI model deployment examples from academic or project work. Eligibility Criteria This role is designed for candidates with a relevant technical qualification , 1–3 years of data engineering experience , and demonstrated shipping experience in data pipeline development or data platform operations. Must hold a relevant technical qualification such as a B.Tech in Computer Science, Data Science, or a related field. Eligible for batches 2023 , 2024 , 2025 , and 2026 only. Must have 1–3 years of hands-on experience in data engineering, including project work or internships involving SnowFlake or data platforms . Academic performance is not specified, but a CGPA of 6.0 or above is expected for competitive consideration. Must have a documented portfolio showing at least two completed data pipeline projects using SnowFlake or hybrid cloud environments. Experience with AI -enabled data workflows or data platform automation is a key differentiator in selection. Documentation & Portfolio Requirements Your resume must include a clear section on data engineering projects with SnowFlake or hybrid cloud components, listing tools, data quality metrics, and performance outcomes . For this role, prioritize including a SnowFlake pipeline project with measurable data quality and performance results — such as query response time reduction or data completeness improvement — in your portfolio to stand out. 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 can significantly enhance your chances of selection for this specific role by aligning your skills with the job requirements. Recommended Courses & Resources Hybrid cloud — This course provides essential knowledge on hybrid cloud technologies, crucial for the role. KodNest — Offers hands-on experience with data platforms , enhancing practical skills needed for the job. 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 or hybrid cloud technologies — Include specific projects or tasks. ❌ Using a generic resume instead of tailoring it to the specific responsibilities outlined in the job description — Customize your resume for the role. ❌ Listing technologies like SnowFlake without detailing how they were applied in previous roles or projects — Provide context for your experience. ❌ Ignoring the experience requirement by applying as a fresher when the role specifies 1-3 years — Ensure you meet the experience criteria. ❌ Adding unrelated technologies or unsupported claims to increase ATS keywords — Stick to relevant skills and experiences. ❌ Failing to verify the official Apply URL and job details before submission — Always double-check the application link. 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 ensuring it gets noticed for this role, as many companies use automated systems to filter applications. ATS Keywords to Include SnowFlake Hybrid cloud AI Data Platforms Data Engineer Data pipelines Data quality Collaboration Monitoring Documentation Troubleshooting Performance metrics Resume Tips for This Role Highlight the relevant technical qualification prominently on the resume. Emphasize experience with SnowFlake and hybrid cloud technologies, as they are critical for the role. Include projects or experiences that demonstrate skills in data pipeline development or data management. Use exact keywords from the job description to align with ATS requirements without keyword stuffing. Avoid adding unsupported technologies or experiences that cannot be substantiated. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro tip: Do not include unrelated experiences or unsupported claims 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 match the position you're applying for. Prepare a resume that highlights relevant skills, responsibilities, qualifications, and experience aligned with the Data Engineer-Data Platforms-SnowFlake role. 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 IBM careers 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 GURGAON, IN . This Data Engineer-Data Platforms-SnowFlake role operates in a hybrid work mode and supports technology industry solutions. The team focuses on data platforms and cloud environments, delivering scalable data solutions for clients. The team collaborates with engineers and business stakeholders to implement data solutions using SnowFlake , hybrid cloud , and AI technologies. These efforts support clients in transforming their data management strategies through modern, cloud-based platforms. This role provides early-career exposure to data engineering and cloud solutions , particularly in using SnowFlake and hybrid cloud environments. It offers hands-on experience with real-world data platforms and AI-driven workflows. Company Details Industry Technology Location GURGAON, IN 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 eligible batches of 2023, 2024, 2025, and 2026, having 1-3 years of experience. ? What technical skills are most important for this role? Skills Tap to expand + Answer SnowFlake, 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 SnowFlake and hybrid cloud technologies. 2. Prepare examples of data pipeline projects. 3. Understand AI applications in data. 4. Familiarize with data quality metrics. 5. Practice collaboration scenarios with stakeholders. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer This role is hybrid, based in Gurgaon. ? What career exposure can this role provide? Growth Tap to expand + Answer This role offers exposure to advanced data technologies and collaboration with business stakeholders, enhancing skills in data engineering. ? What should I highlight in my resume for this role? Resume Tap to expand + Answer Highlight skills in SnowFlake, hybrid cloud, AI, and relevant project 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 in a hybrid work setting. ? Can freshers apply for this role? Fresher Tap to expand + Answer Freshers may not be explicitly accepted as the experience requirement is 1-3 years. 🔗 Explore More on NexisGrow More jobs in GURGAON 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