📋 Job Details at a Glance 📍 Location Hyderabad, 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 Apache Spark Hadoop AWS Kafka SQL Cloud Data Platforms Data Engineer-Data Platforms at IBM — Full Details & How to Apply IBM is seeking a Data Engineer-Data Platforms in Hyderabad, IN , where candidates will work with Apache Spark and AWS to build and maintain data pipelines. This full-time, hybrid role is part of IBM ’s technology operations in Hyderabad, offering hands-on experience with cloud data platforms and real-world data engineering workflows. This Data Engineer-Data Platforms role involves designing, developing, and maintaining data pipelines using technologies such as Apache Spark , Hadoop , and Kafka . The position supports the implementation of scalable data platforms, enabling organizations to manage and process large volumes of data efficiently. Candidates will work directly with cloud data platforms and SQL to ensure data integrity and performance across hybrid environments. The job posting identifies IBM as a leading technology company focused on consulting and hybrid cloud solutions. This IBM recruitment initiative targets technical professionals with experience in data platforms and cloud technologies. The role is embedded within IBM ’s operational framework, where data engineering supports client-driven digital transformation efforts in hybrid cloud and AI environments. 2023, 2024, 2025, 2026 graduates are eligible to apply. Candidates must hold a relevant technical qualification and demonstrated shipping experience and have 1-3 years of experience . The salary for this position is Not Disclosed . Applicants will gain practical experience with Apache Spark , Hadoop , AWS , Kafka , and SQL . This role strengthens foundational skills in cloud data platforms and provides a pathway to advanced data engineering roles. With proven experience in data pipeline development, graduates can progress into senior data engineering or cloud architecture positions 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. Explore more Data Engineer-Data Platforms jobs and Hyderabad, IN jobs through IBM recruitment . Job Role & Responsibilities The Data Engineer-Data Platforms at IBM is responsible for building scalable, fault-tolerant data pipelines using Apache Spark and Hadoop to process large-scale datasets, ensuring data is available for analytics and business operations. This role directly supports IBM 's enterprise data infrastructure by deploying and maintaining cloud-based data systems on AWS . Design and implement end-to-end data pipelines using Apache Spark to process petabyte-scale datasets with partitioning and fault-tolerance mechanisms. Deploy and manage cloud data platforms on AWS , including EC2, S3, and Redshift, to support scalable data storage and compute workloads. Collaborate with business stakeholders to extract data requirements and translate them into structured data models using SQL and Kafka for ingestion. Monitor key performance metrics such as data latency, throughput, and error rates using Apache Spark job logs and AWS CloudWatch dashboards. Maintain existing data infrastructure, including Hadoop clusters and Apache Spark job codebases, with version control and automated deployment scripts. Document data processing workflows and generate monthly reports on data quality scores, pipeline success rates, and data volume metrics. Investigate data flow failures using Kafka consumer logs and SQL query execution plans to identify root causes and implement fixes. Optimize data processing performance by tuning Apache Spark configurations such as executor memory and parallelism settings based on real-world data load metrics. This role requires direct ownership of data pipeline performance, where every Apache Spark job execution and AWS resource utilization decision impacts end-user data accessibility and system reliability. Required Skills & Technical Competencies The Data Engineer-Data Platforms role demands a strong foundation in distributed data processing and cloud infrastructure, with core competencies in Apache Spark , Hadoop , AWS , Kafka , and SQL . These skills are essential for executing real-world data engineering tasks in production environments. Technical Skills Apache Spark — intermediate — used to process large-scale datasets with distributed computing, including batch jobs and real-time streaming pipelines. Hadoop — intermediate — used for distributed storage via HDFS and processing of data using MapReduce, critical for pipeline reliability and fault tolerance. AWS — intermediate — used to deploy and manage cloud data platforms , including S3 for storage, EC2 for compute, and CloudWatch for monitoring. Kafka — entry — used to ingest real-time data streams and ensure low-latency data delivery to downstream systems. SQL — intermediate — used to query structured data, validate data integrity, and generate performance reports from data lakes and databases. When preparing your resume, emphasize hands-on experience with Apache Spark job execution, Hadoop cluster configuration, and AWS deployment scripts in real projects. Eligibility Criteria This role is designed for recent graduates with a relevant technical qualification and demonstrated experience in data engineering projects, targeting students from 2023, 2024, 2025, and 2026 batches. Must hold a relevant technical qualification such as a B.Tech in Computer Science, Data Science, or a related field. Must be from eligible batches: 2023, 2024, 2025, or 2026 . Must have at least 1 year of hands-on experience in data engineering, including project work or internships involving data pipelines. CGPA or academic performance is not specified, but a minimum 3.0 CGPA is implied by industry standards for entry-level roles. Must have a documented portfolio showcasing data pipeline implementations using Apache Spark , Hadoop , or AWS . Must demonstrate practical experience with SQL queries and Kafka data ingestion in real-world projects. Documentation & Portfolio Requirements Your resume must include a clear project section with technical details such as Apache Spark job configurations, Hadoop cluster setup, and SQL query outputs, along with deployment logs on AWS or Kafka environments. For this role, prioritize showing a project where you built a data pipeline using Apache Spark and Hadoop , deployed it on AWS , and monitored performance using SQL and Kafka — this directly mirrors the responsibilities and is the strongest evidence of capability. Salary for Data Engineer-Data Platforms at IBM 💰 Compensation Not Disclosed The advertised compensation for the Data Engineer-Data Platforms 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 Upskilling with the right resources significantly enhances your chances of selection for this specific role by ensuring you meet the technical requirements and demonstrate relevant expertise. Recommended Courses & Resources Apache Spark — Mastering this technology is crucial for building data pipelines effectively. AWS — Understanding AWS is essential for cloud data platform management. SQL — Proficiency in SQL is vital for data manipulation and querying. KodNest — This resource helps in practical application of data engineering concepts. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Applying without demonstrating experience with Apache Spark — Ensure to include relevant projects. ❌ Using a generic resume — Tailor it to the specific responsibilities outlined in the job description. ❌ Listing technologies like AWS without details — Specify where they were applied in past experiences. ❌ Ignoring the specified experience requirement — Ensure you meet the 1-3 years experience criteria. ❌ Adding unrelated skills or unsupported claims — Focus on relevant technologies and experiences. ❌ Not verifying the official Apply URL — Always check the link 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 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 Data Engineer Apache Spark Hadoop AWS Kafka SQL Cloud Data Platforms Data Pipelines Data Quality Collaboration Monitoring Troubleshooting Resume Tips for This Role Highlight your experience with Apache Spark prominently on your resume. Showcase familiarity with AWS and Hadoop , as these tools are essential. Include a project that involved building data pipelines using the listed technologies. Use exact keywords from the job description naturally to align with ATS requirements. Avoid listing unsupported technologies or experiences 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 skills or unsupported claims in your resume for this role, as it may lead to disqualification. How to Apply for Data Engineer-Data Platforms 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 Hyderabad, IN. This Data Engineer-Data Platforms role operates in a hybrid work mode and supports clients in the technology industry. The role focuses on building data solutions through collaboration with engineers and business stakeholders. The team works on data platforms using technologies like Apache Spark , Hadoop , AWS , Kafka , SQL , and Cloud Data Platforms . These tools enable the delivery of scalable, real-time data solutions for clients navigating hybrid cloud and AI initiatives. This role supports IBM ’s focus on hybrid cloud and AI journeys by delivering data engineering solutions that align with client needs. It provides early-career exposure to core data engineering tools and responsibilities in a real-world environment. This role offers early-career exposure to essential technologies and responsibilities in data engineering. Hands-on experience with Apache Spark , Hadoop , AWS , Kafka , SQL , and Cloud Data Platforms builds foundational skills in data platform development. Company Details Industry Technology Location Hyderabad, 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 the eligible batches of 2023, 2024, 2025, and 2026 can apply. ? What technical skills are most important for this role? Skills Tap to expand + Answer Key skills include Apache Spark, Hadoop, AWS, Kafka, and SQL, which are essential for data engineering tasks. ? 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 1. Review Apache Spark and Hadoop documentation. 2. Practice SQL queries. 3. Familiarize yourself with AWS services. 4. Prepare to discuss data pipeline projects. 5. Understand the role of Kafka in data streaming. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer The work mode is hybrid, allowing for both remote and onsite work in Hyderabad. ? What career exposure can this role provide? Growth Tap to expand + Answer This role provides exposure to advanced data engineering technologies and responsibilities, enhancing career prospects in the tech industry. ? What should I highlight in my resume for this role? Resume Tap to expand + Answer Highlight skills in Apache Spark, AWS, Hadoop, and relevant project experiences that align with the job responsibilities. ? 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 work environment involves collaboration with engineers and business stakeholders to deliver data solutions. ? Can freshers apply for this role? Fresher Tap to expand + Answer No, as the experience requirement is 1-3 years, which does not accommodate freshers. 🔗 Explore More on NexisGrow More jobs in Hyderabad 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