📋 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 for a hybrid role with hands-on experience in building and maintaining data pipelines using Databricks and Apache Spark . This position supports IBM ’s hybrid cloud architecture initiatives through real-world data platform development. This Data Engineer-Data Platforms-Databricks role is essential for developing data pipelines that operate within cloud data platforms . The role requires technical expertise in Databricks , Apache Spark , and SQL , with direct responsibility for pipeline development and execution. Candidates will work within a hybrid cloud environment, ensuring data flows are reliable and scalable across platforms. The job posting identifies this role as part of IBM ’s technology operations, focusing on data platform management and pipeline development. IBM emphasizes technical qualifications and demonstrated shipping experience in data engineering. The role is based in Bangalore, IN and operates under a hybrid work model. 2023, 2024, 2025, 2026 graduates are eligible. Applicants must hold a relevant technical qualification and demonstrated shipping experience and have 1-3 years of experience . The salary is Not Disclosed . Candidates will gain practical experience in Databricks , Cloud Data Platforms , Apache Spark , SQL , and hybrid cloud architecture . This role builds foundational skills in data pipeline development , which can lead to advancement into senior data engineering or cloud data platform roles within technology firms. 📊 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. Search for Data Engineer-Data Platforms-Databricks jobs or explore IBM recruitment in Bangalore, IN jobs to find similar roles. Use the official link to apply online for this position. Job Role & Responsibilities The Data Engineer-Data Platforms-Databricks role at IBM ensures reliable data processing in hybrid cloud architecture environments by building scalable pipelines using Databricks and Apache Spark . This role directly supports enterprise data operations through precise SQL queries and performance monitoring in Cloud Data Platforms . Develop end-to-end data pipelines in Databricks using Apache Spark to process large-scale datasets with cloud data platform integrations. Implement SQL queries to extract, transform, and validate data from Cloud Data Platforms with a focus on data integrity and execution time. Collaborate with business stakeholders to define data requirements and deliver actionable insights using SQL and Databricks workflows. Monitor data quality and performance metrics such as query latency and error rates in hybrid cloud architecture environments. Support and maintain existing Databricks and Apache Spark codebases with adherence to code quality standards and documentation best practices. Document data processing workflows and pipeline configurations in Databricks notebooks and Cloud Data Platforms metadata for audit and onboarding. Diagnose data access failures and pipeline errors using Apache Spark logs and SQL error tracing to improve data availability. Optimize data pipeline performance by tuning Spark configurations and SQL execution plans in Cloud Data Platforms with real-time monitoring. This role demands direct ownership of pipeline reliability, where every data quality metric , performance benchmark , and codebase update has measurable impact on client-facing data delivery. Required Skills & Technical Competencies The role requires a strong technical foundation in Databricks , Apache Spark , and SQL to execute data pipeline development and operations within Cloud Data Platforms and hybrid cloud architecture environments. Technical Skills Databricks — intermediate — used for building and managing scalable data pipelines in cloud data platforms with Delta Lake and structured query execution . Apache Spark — intermediate — applied for large-scale data processing, with emphasis on Spark SQL and Spark DataFrame operations in hybrid cloud environments. SQL — intermediate — used for querying data in Cloud Data Platforms , enforcing data integrity, and generating performance reports via query execution plans . Cloud Data Platforms — intermediate — leveraged to deploy and manage data storage, ingestion, and processing workflows in hybrid cloud architecture . Hybrid Cloud Architecture — entry — required to understand integration points between on-premises and cloud-based data platforms and Databricks workloads. When showcasing these skills, emphasize specific projects where you used Apache Spark or SQL to process data in Databricks , and include performance metrics like query time reduction or error rate 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, particularly in Databricks and Cloud Data Platforms environments. Must hold a relevant technical qualification such as a Bachelor’s degree in Computer Science, Data Engineering, or a related field. Eligible batches are 2023 , 2024 , 2025 , and 2026 with a minimum of 1 year of project or internship experience. Experience must include hands-on development of data pipelines using Databricks or Apache Spark in a real-world project or lab environment. CGPA or academic performance is not specified, but a strong foundation in data structures and database systems is expected. Must have a portfolio demonstrating SQL queries, Spark jobs, or Databricks notebooks with clear data processing logic. Applicants must provide a resume with a clear section on technical projects involving data pipelines and performance metrics . Documentation & Portfolio Requirements Your resume must include a dedicated section with project descriptions that detail SQL queries, Apache Spark jobs, and Databricks notebook workflows, including input data, processing steps, and output metrics. For this role, prioritize showcasing a Databricks project where you built a data pipeline using Apache Spark and SQL , with documented data quality and performance 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 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. SQL — Mastering SQL is crucial for data manipulation and querying in data platforms. KodNest — Offers hands-on experience with data pipeline development and cloud data platforms . 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 your use. ❌ Using a generic resume — Tailor it to the responsibilities outlined in the job description. ❌ Listing technologies like SQL without detailing their application — Include context from past projects or roles. ❌ Ignoring the experience requirement — Ensure you meet the relevant experience 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 ensuring it gets noticed for this role, as many companies use automated systems to filter applications. ATS Keywords to Include Databricks Cloud Data Platforms Data Pipeline Development Apache Spark SQL Hybrid Cloud Architecture Data Quality Documentation Troubleshooting Collaboration Performance Monitoring Data Management Resume Tips for This Role Highlight experience with Databricks and Apache Spark prominently on your resume. Include specific projects or experiences related to Cloud Data Platforms and data pipeline development . Showcase any relevant internships or academic projects that utilized SQL or data engineering tools. Use exact keywords from the job description naturally to improve ATS alignment. Avoid adding unsupported claims or technologies that cannot be substantiated in your resume. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro tip: Avoid including unrelated experiences or technologies 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 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 data and cloud technologies. The team develops data pipelines using Databricks , Apache Spark , and SQL , building solutions on cloud data platforms . They focus on hybrid cloud architecture and collaborate with engineers and clients to deliver data solutions. This role supports IBM ’s work in helping clients navigate hybrid cloud and AI journeys through practical data engineering. Early-career professionals gain exposure to Databricks , Apache Spark , and cloud data platforms —key tools in modern data engineering. 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 and 1-3 years of experience from eligible batches 2023, 2024, 2025, and 2026 can apply. ? What technical skills are most important for this role? Skills Tap to expand + Answer Databricks, Apache Spark, SQL, Cloud Data Platforms, and Hybrid Cloud Architecture 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, which 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 Review Databricks and Apache Spark, practice SQL queries, understand data pipeline development, and familiarize yourself with hybrid cloud concepts. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer The work mode is hybrid, based in Bangalore. ? What career exposure can this role provide? Growth Tap to expand + Answer This role provides exposure to data engineering tools like Databricks and Apache Spark, enhancing skills in data pipeline development. ? What should I highlight in my resume for this role? Resume Tap to expand + Answer Highlight skills in Databricks, Apache Spark, SQL, and any relevant project experience in data pipeline development. ? 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 develop data solutions. ? Can freshers apply for this role? Fresher Tap to expand + Answer Freshers may not be accepted 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