📋 Job Details at a Glance 📍 Location Bangalore, 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 Databricks Cloud Data Platforms Data Pipeline Development Apache Spark SQL Hybrid Cloud Architecture Data Engineer-Data Platforms-Databricks at IBM — Full Details & How to Apply IBM is seeking a Data Engineer-Data Platforms-Databricks in Bangalore, IN with hands-on experience in Apache Spark and Databricks for building data pipelines in hybrid cloud environments. This role supports real-world client deployments through cloud data platform development and pipeline automation. This Data Engineer-Data Platforms-Databricks position focuses on developing and maintaining data pipelines using Databricks and Apache Spark , enabling efficient data processing in hybrid cloud architecture . The work directly involves building scalable data workflows that operate across cloud environments, ensuring data consistency and performance for client applications. The job posting identifies IBM as a technology company offering expertise in hybrid cloud and AI through data platform solutions. This role is part of a team that delivers technical services to clients using cloud-based data infrastructure, emphasizing practical implementation over theoretical concepts. 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 practical experience with Databricks , Cloud Data Platforms , Apache Spark , and SQL . This role builds foundational skills in data pipeline development and hybrid cloud architecture , preparing individuals for progression into more advanced data engineering and cloud operations roles. 📊 Role Difficulty: Medium | Competition Level: Medium | Fresher Friendly: Mostly 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. Data Engineer-Data Platforms-Databricks jobs in Bangalore, IN jobs are available through IBM recruitment . Apply online via the official portal to access this role. Job Role & Responsibilities The Data Engineer-Data Platforms-Databricks role at IBM ensures reliable, scalable data processing by building pipelines in Databricks and optimizing performance using Apache Spark . This position directly supports enterprise data operations through structured, measurable data workflows and real-time monitoring of data quality and performance metrics . Develop end-to-end Data Pipeline Development workflows in Databricks using Apache Spark to process large-scale datasets with consistent throughput and low latency. Implement SQL queries to extract, transform, and validate data from source systems, ensuring accurate data retrieval and integrity for downstream analytics. Design and deploy scalable Cloud Data Platforms solutions in hybrid cloud environments to support multi-tenant data access and compliance. Configure and maintain Apache Spark jobs to process terabyte-scale datasets with optimized execution plans and minimal resource overhead. Collaborate with internal teams and clients to define data requirements, translating business needs into structured data pipelines in Databricks . Monitor data quality and performance metrics such as job runtime, error rates, and data completeness using built-in Databricks observability tools. Document data workflows and pipeline configurations in standardized formats to enable audit trails and support future maintenance and onboarding. Diagnose and resolve data access issues in Databricks environments by analyzing logs, error messages, and Spark execution plans to restore data availability. This role demands direct ownership of data pipeline reliability , with every decision impacting data accessibility , system performance , and client-facing data delivery metrics. Required Skills & Technical Competencies The role requires a strong foundation in Databricks , Apache Spark , and SQL to execute data engineering tasks at scale. Candidates must demonstrate hands-on experience with Cloud Data Platforms and Hybrid Cloud Architecture in real-world environments. Technical Skills Databricks — intermediate — used to build and manage scalable data pipelines and analytics workloads in production environments. Apache Spark — intermediate — applied to process large datasets with optimized data processing jobs and performance tuning in Databricks clusters. SQL — intermediate — used to write complex queries for data extraction, transformation, and validation in cloud data platforms . Cloud Data Platforms — entry — required to deploy and manage data infrastructure across public and private cloud environments. Hybrid Cloud Architecture — entry — applied to integrate on-premise and cloud-based data systems for seamless data flow and access. When showcasing these skills, emphasize specific Databricks notebooks, Spark job configurations, and SQL query performance improvements in your resume and interviews. Eligibility Criteria This role is designed for candidates with a relevant technical qualification and 1–3 years of experience in data engineering or related domains, particularly with Databricks and Apache Spark tools. Must hold a relevant technical qualification such as a B.Tech in Computer Science, Data Science, or a related field. Eligible for 2023, 2024, 2025, and 2026 batches only. Minimum of 1 year of hands-on experience with data pipeline development or cloud data tools in academic or project settings. CGPA or academic performance is not specified, but a strong grasp of SQL and Apache Spark is expected. Must have a portfolio demonstrating Databricks or Spark -based data pipeline projects with measurable outcomes. Must provide evidence of shipping experience such as deployed pipelines, data validation reports, or production-grade code. Documentation & Portfolio Requirements Your resume must include a clear section on Databricks and Apache Spark projects, listing specific tools, data sources, and performance metrics achieved. Include SQL queries, pipeline diagrams , and execution logs as evidence of hands-on work. For this role, prioritize including a project portfolio with a Databricks notebook, Apache Spark job logs, and a performance metric such as reduced processing time by 40% or improved data accuracy to 99.9%. 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 the job requirements. Recommended Courses & Resources Databricks — Essential for mastering the platform used in this role. SQL — Crucial for data manipulation and querying in data platforms. KodNest — Offers practical insights into data pipeline development . 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 or Apache Spark — Provide specific examples of relevant projects. ❌ Using a generic resume — Tailor it to the specific responsibilities outlined in the job description. ❌ Listing technologies like SQL without detailing application — Specify where they were applied in previous roles or projects. ❌ Ignoring the experience requirement — Ensure you meet the qualifications before applying. ❌ Adding unrelated technologies or unsupported claims — Stick to substantiated skills and experiences. ❌ 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 you meet the supplied qualification criteria. ✅ Verify eligibility against the supplied eligible batches and experience requirement. ✅ Add relevant supplied JD keywords naturally to your 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 standing out in the application process for this role. ATS Keywords to Include Databricks Cloud Data Platforms Data Pipeline Development Apache Spark SQL Hybrid Cloud Architecture Data Quality Collaboration Monitoring Troubleshooting Documentation Performance Metrics Resume Tips for This Role Highlight the relevant technical qualification prominently on your resume. Emphasize experience with Databricks and Apache Spark , as these are critical technologies. Include projects or experiences related to data pipeline development using the specified technologies. Use exact keywords from the job description naturally in your resume. Avoid adding unsupported claims or unrelated technologies 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-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 Bangalore, IN. This Data Engineer-Data Platforms-Databricks role operates in a hybrid work mode and supports IBM 's consulting services in hybrid cloud and AI initiatives. The team develops data pipelines using Databricks , Apache Spark , and SQL , building solutions on cloud data platforms within a hybrid cloud architecture . Collaboration with engineers and clients is central to delivering effective data solutions. This role aligns with IBM ’s focus on helping clients advance their hybrid cloud and AI journeys through practical data platform development. Early-career professionals gain exposure to industry-standard tools like Databricks , Apache Spark , and SQL —key technologies in data engineering and cloud data platforms . Company Details Industry Technology Location Bangalore, 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, eligible batches from 2023 to 2026, and 1-3 years of experience can apply. ? What technical skills are most important for this role? Skills Tap to expand + Answer Databricks, Apache Spark, SQL, and Cloud 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, indicating that specific salary information is not 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 Review Databricks and Apache Spark documentation, practice SQL queries, understand hybrid cloud concepts, prepare to discuss relevant projects, and familiarize yourself with IBM's consulting approach. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer This role is hybrid, allowing for both remote and onsite work in Bangalore. ? What career exposure can this role provide? Growth Tap to expand + Answer This role provides exposure to advanced data engineering tools and technologies, enhancing skills in data pipeline development and cloud architecture. ? What should I highlight in my resume for this role? Resume Tap to expand + Answer Highlight skills in Databricks, Apache Spark, SQL, data pipeline development experience, and relevant technical 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 engineers and clients, focusing on developing effective data solutions. ? Can freshers apply for this role? Fresher Tap to expand + Answer Yes, freshers can apply if they have relevant qualifications and meet the experience requirement. 🔗 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