📋 Job Details at a Glance 📍 Location Kolkata, IN 🏢 Company IBM 👥 Experience 0-2 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 Data Platform Cloud Data Engineering Hybrid Cloud AI Integration Data Pipeline Development Data Engineer-Data Platforms-Databricks at IBM — Full Details & How to Apply IBM is seeking a Data Engineer-Data Platforms-Databricks in Kolkata, IN for a hybrid work mode role with hands-on experience in Data Pipeline Development using Databricks . This role supports AI integration efforts through cloud data engineering and data platform solutions. The position involves building and maintaining data pipelines using Databricks and Cloud Data Engineering tools, directly contributing to hybrid cloud and AI integration initiatives. Candidates will work with technologies such as Databricks , Hybrid Cloud , and AI Integration to ensure data flows efficiently across platforms. The focus is on practical implementation of data pipelines, not theoretical concepts. IBM recruitment for this role emphasizes technical execution in data platform environments. The job posting highlights a team focused on hybrid cloud and AI solutions, with responsibilities centered on data engineering workflows. The role is part of IBM ’s technology consulting operations in Kolkata, where data platform development is a core function. 2023, 2024, 2025, 2026 graduates are eligible. Candidates must hold a relevant technical qualification and have demonstrated shipping experience. The role requires 0-2 years of experience . The salary is Not Disclosed . Candidates will gain practical experience in Databricks , Data Platform , Cloud Data Engineering , Hybrid Cloud , and AI Integration . This role provides foundational exposure to real-world data engineering workflows and offers a pathway into cloud-based data solutions. Progression opportunities exist in data engineering and AI-driven infrastructure roles. 📊 Role Difficulty: Low | Competition Level: Medium | Fresher Friendly: Yes 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-Databricks jobs , explore IBM recruitment in Kolkata, IN jobs , and find more opportunities by applying online. Job Role & Responsibilities The Data Engineer-Data Platforms-Databricks role at IBM ensures reliable data flow across hybrid cloud environments by building and maintaining Data Pipeline Development solutions using Databricks and Cloud Data Engineering practices. This role directly supports AI Integration by enabling scalable, real-time data processing pipelines. Develop end-to-end Data Pipeline Development workflows in Databricks using Delta Lake and Spark SQL to process structured and semi-structured data from diverse sources. Implement Cloud Data Engineering patterns in hybrid cloud environments to deploy data pipelines on IBM Cloud and AWS with minimal latency and high throughput. Collaborate with business stakeholders to define data requirements and deliver AI Integration -enabled data solutions using Databricks MLflow for model training data pipelines. Monitor data quality and performance metrics such as latency , error rate , and data volume in Databricks clusters to ensure pipeline reliability and scalability. Maintain existing Data Platform infrastructure using Databricks job scheduling and data versioning tools to ensure consistent data availability and operational efficiency. Document Data Pipeline Development processes, including data ingestion , transformation , and delivery steps, in Confluence or Notion for audit and team onboarding. Diagnose data access failures and troubleshoot pipeline errors using Databricks logs, error tracking tools, and monitoring dashboards to restore data accessibility within 15 minutes. Design and deploy Hybrid Cloud data solutions that integrate AI Integration components with Databricks to support real-time analytics and predictive modeling. This role demands direct ownership of Data Pipeline Development performance, where every data quality metric and pipeline failure is tracked and resolved with measurable impact on data platform operations and AI model performance . Required Skills & Technical Competencies The Data Engineer-Data Platforms-Databricks role requires a strong foundation in Databricks , Cloud Data Engineering , and Data Pipeline Development to build and maintain scalable data solutions in hybrid cloud and AI Integration environments. Technical Skills Databricks — entry — used to build and manage Data Pipeline Development workflows with Delta Lake and Spark SQL in IBM Cloud environments. Cloud Data Engineering — entry — applied to design and deploy scalable data pipelines in hybrid cloud setups using IBM Cloud and AWS services. Data Pipeline Development — entry — executed through end-to-end implementation of data ingestion, transformation, and delivery using Databricks and Apache Spark . Hybrid Cloud — entry — leveraged to integrate on-premises and cloud-based data systems using IBM Cloud and on-premises data storage. AI Integration — entry — used to connect Databricks pipelines with MLflow and AI model training workflows for real-time data input. When preparing your resume, emphasize hands-on Databricks experience with Data Pipeline Development and Cloud Data Engineering in real projects, including error monitoring , data quality , and pipeline performance metrics. Eligibility Criteria This role is designed for freshers with a relevant technical qualification and demonstrated shipping experience in data engineering, particularly in Databricks or cloud data pipelines . Must hold a relevant technical qualification such as a Bachelor’s in Computer Science , Information Technology , or Data Science . Eligible batches are 2023 , 2024 , 2025 , and 2026 only. Experience requirement is 0–2 years , explicitly accepting candidates with no prior industry experience. Academic performance is not specified, but a CGPA of 6.0 or above is expected for competitive consideration. Must have a portfolio showcasing at least one Data Pipeline Development project using Databricks or Cloud Data Engineering tools. Must demonstrate shipping experience through academic projects, internships, or personal data engineering initiatives. Documentation & Portfolio Requirements Your resume must include a project summary with clear data flow diagrams , tool usage (e.g., Databricks , Spark ), and performance metrics such as latency or data volume processed. For this role, prioritize a Databricks project that includes Data Pipeline Development , data quality checks, and hybrid cloud deployment — clearly showing end-to-end execution and measurable outcomes. 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 being selected for this role by demonstrating relevant expertise and knowledge. Recommended Courses & Resources Databricks — This course provides essential skills in using Databricks for data engineering tasks. KodNest — Offers hands-on experience in cloud data engineering , crucial for 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 Databricks — Include specific projects or coursework. ❌ Using a generic resume — Tailor it to the responsibilities and skills listed in the job description. ❌ Listing technologies like Databricks without context — Specify where and how you used them. ❌ Ignoring the qualification and experience requirements — Ensure you meet the criteria stated in the posting. ❌ Adding unrelated technologies or unsupported claims — Focus on relevant skills and experiences. ❌ Applying without verifying 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-Databricks 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 Databricks Data Platform Cloud Data Engineering Hybrid Cloud AI Integration Data Pipeline Development Data Quality Collaboration Monitoring Troubleshooting Documentation Support Resume Tips for This Role Highlight your experience with Databricks prominently on your resume. Emphasize your familiarity with Cloud Data Engineering and data pipeline development . Showcase a project where you utilized Databricks or developed data pipelines. Use exact keywords from the job description to align your resume with ATS requirements. Avoid including unsupported technologies or claims that cannot be substantiated. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro Tip: Avoid including unrelated experiences or unsupported claims in your resume for this role. 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 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 company based in Kolkata, IN offering hybrid cloud and AI integration services. This Data Engineer-Data Platforms-Databricks role operates in a hybrid work mode within the technology industry. The team develops data pipelines and implements cloud data engineering solutions, integrating Databricks and AI capabilities. They collaborate with engineers and stakeholders to deliver data-driven outcomes. This role supports IBM ’s focus on hybrid cloud and AI integration through hands-on work in data platforms. It provides early-career exposure to Databricks , data pipeline development , and cloud data engineering tools and methodologies. Company Details Industry Technology Location Kolkata, 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, with 0-2 years of experience. ? What technical skills are most important for this role? Skills Tap to expand + Answer Databricks, Cloud Data Engineering, Data Pipeline Development, Hybrid Cloud, and AI Integration. ? 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 Review Databricks documentation, practice data pipeline development, understand cloud data engineering concepts, prepare to discuss relevant projects, and familiarize yourself with IBM's hybrid cloud solutions. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer This role is hybrid, based in Kolkata, IN. ? What career exposure can this role provide? Growth Tap to expand + Answer Exposure to data pipeline development, collaboration with business stakeholders, and hands-on experience with Databricks and cloud data engineering. ? What should I highlight in my resume for this role? Resume Tap to expand + Answer Highlight skills in Databricks, Cloud Data Engineering, relevant projects, and any experience with data pipelines. ? 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-driven solutions. ? Can freshers apply for this role? Fresher Tap to expand + Answer Yes, freshers are welcome to apply as the experience requirement is 0-2 years. 🔗 Explore More on NexisGrow More jobs in Kolkata 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