Data Engineer – Data Platforms at IBM

IBM · Hyderabad, Telangana, India

📋 Job Details at a Glance 📍 Location Hyderabad, Telangana, India 🏢 Company IBM 👥 Experience 0-2 years 🎓 Qualification Bachelor’s degree 📅 Eligible Batch 2022, 2023, 2024, 2025 📄 Job Type Full Time 💰 Salary ₹10–18 LPA 🏢 Industry Technology 🛠 Key Skills Snowflake Data Engineering Data Platforms Cloud Computing Data Pipelines Data Warehousing Data Optimization AI & Data Use Cases Data Engineer – Data Platforms at IBM — Full Details & How to Apply IBM is seeking a Data Engineer – Data Platforms in Hyderabad, Telangana, India , offering freshers a chance to work with Snowflake and AI-driven data use cases. This role provides a unique opportunity to kickstart a career in a leading technology firm. The demand for data engineers is surging as companies increasingly rely on data-driven decision-making, making this role crucial in IBM 's growth strategy. As organizations prioritize data optimization and cloud computing, the Data Engineer – Data Platforms position is pivotal in shaping effective data pipelines and enhancing data warehousing solutions. What makes IBM appealing for this role is its legacy as a leader in cloud computing and AI technologies, with over 350,000 employees globally. The company's focus on innovation and employee development creates an environment where fresh talent can thrive, making IBM recruitment particularly attractive for aspiring data engineers. We encourage 2022, 2023, 2024, 2025 graduates with a Bachelor’s degree and 0-2 years experience to apply. The salary for this role ranges from ₹10–18 LPA , providing a competitive entry point into the tech industry. In this role, you will gain hands-on experience with essential skills such as Data Engineering , Data Platforms , Cloud Computing , Data Pipelines , and Data Warehousing . Working with cutting-edge technologies like Snowflake and exploring AI & data use cases will open doors to advanced career opportunities in data science and analytics. 📊 Role Difficulty: Medium | 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. Job Role & Responsibilities The core mission of the Data Engineer – Data Platforms at IBM is to design and implement robust data pipelines that enhance data processing and storage efficiency using Snowflake . Design and implement data pipelines using Snowflake to ensure efficient data processing and storage across various platforms. Collaborate with cross-functional teams, including data scientists and software engineers, to develop data-driven solutions that meet project requirements. Monitor and optimize data performance metrics to ensure high-quality data delivery and integrity across all data platforms. Take ownership of data documentation and reporting processes to maintain clarity and transparency in all data operations. Identify and troubleshoot data-related issues , providing solutions that enhance data integrity and usability for stakeholders. Engage in continuous learning about AI and data use cases to apply innovative solutions in ongoing projects. Participate in team meetings to discuss project progress and align on data strategy initiatives effectively. This role fosters an ownership culture, allowing you to make a direct impact on data operations and contribute to the overall success of IBM . Required Skills & Technical Competencies The ideal candidate for the Data Engineer – Data Platforms role must possess a strong technical skill profile to effectively manage data operations at IBM . Technical Skills Snowflake — entry — essential for building and managing data platforms, requiring proficiency in SQL and data modeling. Data Engineering — entry — foundational knowledge in ETL processes and data architecture is crucial for this role. Cloud Computing — entry — understanding cloud services and deployment models is necessary for optimizing data solutions. Data Warehousing — entry — familiarity with data warehousing concepts helps in structuring and storing data efficiently. AI & Data Use Cases — entry — knowledge of how AI can enhance data analytics is beneficial for innovative project contributions. When showcasing these technical skills in your resume or interview, emphasize your hands-on experience and specific projects that demonstrate your proficiency with each tool. Eligibility Criteria This role is designed for recent graduates eager to start their careers in data engineering at IBM . A Bachelor's degree in Computer Science, Information Technology, or related fields is required. Eligible batches include 2022, 2023, 2024, and 2025 , allowing recent graduates to apply. No prior experience is required, making this role accessible for freshers. A minimum academic performance of 60% is preferred to ensure a solid foundational knowledge base. Having a portfolio or GitHub showcasing relevant projects can provide a competitive edge in the application process. Documentation & Portfolio Requirements Ensure your resume is clear and concise, highlighting your educational background, relevant projects, and technical skills. Include links to your portfolio or GitHub for easy access. Pro tip: Tailor your application to highlight specific experiences with Snowflake and any relevant projects that demonstrate your data engineering capabilities. Salary for Data Engineer – Data Platforms at IBM 💰 Compensation ₹10–18 LPA The advertised compensation for the Data Engineer – Data Platforms role at IBM is ₹10–18 LPA . 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 equipping you with essential skills and knowledge. Recommended Courses & Resources Cloud Computing — This course provides foundational knowledge in cloud technologies essential for data platforms. KodNest — Offers hands-on experience with data engineering projects, crucial for practical understanding. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Neglecting to tailor the resume to the specific job requirements — Customize your resume for each application. ❌ Overlooking the importance of showcasing technical skills and relevant projects — Highlight your technical expertise and projects. ❌ Submitting a generic cover letter — Craft a cover letter that addresses IBM's specific needs. ❌ Failing to prepare for technical interviews — Practice relevant data engineering problems beforehand. ❌ Ignoring the application deadline — Keep track of deadlines to avoid missed opportunities. ❌ Not researching IBM's recent developments and culture — Understand the company to perform better in interviews. Before You Apply — Checklist ✅ Review the job description thoroughly to understand the requirements and responsibilities. ✅ Update your resume to reflect relevant skills and experiences tailored to the role. ✅ Prepare a cover letter that highlights your interest in data engineering and IBM . ✅ Gather any necessary documents, such as transcripts or certifications, for the application. ✅ Check your online presence, including LinkedIn, to ensure it aligns with your application. ✅ Practice common data engineering interview questions to prepare for the interview process. ✅ Set reminders for application deadlines to ensure timely submission. ✅ Follow up on your application status after submission to express continued interest. Resume Tailoring & ATS Keywords for Data Engineer – Data Platforms Optimizing your resume for ATS is crucial for standing out in the application process for this role. ATS Keywords to Include Data Engineer Snowflake Data Platforms Cloud Computing Data Pipelines Data Warehousing Data Optimization AI Data Use Cases ETL SQL Data Architecture Resume Tips for This Role Highlight relevant coursework or projects related to data engineering and cloud technologies. Emphasize teamwork and collaboration experiences, especially in technical settings. Include links to any projects or portfolios that demonstrate your skills in data engineering. Optimize your resume with keywords from the job description to pass ATS screenings. Avoid including unrelated work experiences that do not showcase your technical abilities. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro tip: Avoid including generic skills or experiences that do not directly relate to data engineering. How to Apply for Data Engineer – Data Platforms at IBM Apply Now — IBM Visit the IBM careers portal and search for the Data Engineer – Data Platforms position. Prepare your resume in PDF format, ensuring it highlights relevant skills and experiences. Fill out the application form accurately, providing all requested information. After submission, you can expect an email confirmation regarding your application status. Use the application tracking feature on the portal to monitor your application progress. Applications reviewed on a rolling basis — early submission recommended. Apply Now — IBM NexisGrow.com does not charge any fees for job applications. IBM IBM was founded in 1911 and is headquartered in Armonk, New York . With a workforce of over 280,000 employees , IBM operates in more than 170 countries , including a significant presence in Hyderabad, Telangana, India . This extensive global footprint enables IBM to leverage diverse markets and talent pools. IBM is recognized for its innovative products such as IBM Cloud and Red Hat OpenShift . These platforms are integral to the company's offerings in cloud computing and AI, providing businesses with robust solutions for data management and analytics. The focus on data engineering and data platforms positions IBM at the forefront of technology. The culture at IBM emphasizes innovation and diversity, consistently earning high ratings on Glassdoor for employee satisfaction. The company has received accolades such as being named one of the World’s Most Ethical Companies for several consecutive years. Employee programs at IBM focus on continuous learning and professional growth. Recently, IBM announced a strategic shift towards hybrid cloud solutions, reflecting its commitment to adapting to market demands. This initiative includes significant investments in cloud computing technologies and partnerships to enhance its service offerings. Such developments underscore IBM 's proactive approach in the tech industry. For freshers in technology, IBM offers unparalleled exposure to advanced technologies and a structured career development framework. The opportunity to work with cutting-edge tools in a globally recognized company provides a strong foundation for future career growth in fields like data engineering and cloud computing . Company Details Industry Technology Location Hyderabad, Telangana, India Connect With Us Careers Apply Now Website 🔗 careers.ibm.com Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for Data Engineer – Data Platforms at IBM? Eligibility Tap to expand + Answer Candidates with Bachelor’s degree and 0-2 years experience are eligible. Eligible batches: 2022, 2023, 2024, 2025. ? What skills are most important for this role? Skills Tap to expand + Answer Key skills: Snowflake, Data Engineering, Data Platforms, Cloud Computing, Data Pipelines. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: ₹10–18 LPA. Final offer depends on skills, experience, and interview performance. ? What is the interview process at IBM? Interview Tap to expand + Answer Typically: Resume shortlisting → Online test → Technical interview(s) → HR round. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer Work mode varies by team. Confirm with HR during recruitment. ? What is the career growth path from this role? Growth Tap to expand + Answer Structured appraisals every 6–12 months. Senior roles accessible within 12–18 months based on performance. ? How do I apply? Application Tap to expand + Answer Apply via the official link in How to Apply section. Highlight: Snowflake, Data Engineering, Data Platforms, Cloud Computing, Data Pipelines. ? Is there a probation period? Probation Tap to expand + Answer Standard 3–6 months probation. Confirmation follows successful completion. ? How to prepare for the Data Engineer – Data Platforms interview? Preparation Tap to expand + Answer (1) Core concepts of Snowflake, Data Engineering, Data Platforms, Cloud Computing, Data Pipelines, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) IBM research, (5) Clear communication. ? What is the work culture like at IBM? Culture Tap to expand + Answer Research on LinkedIn and Glassdoor for authentic employee reviews. NexisGrow.com features only verified employers. 🔗 Explore More on NexisGrow More jobs in Hyderabad Browse all Tech 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