📋 Job Details at a Glance 📍 Location Bengaluru, Karnataka, India 🏢 Company IBM 👥 Experience 2-5 years 🎓 Qualification Bachelor's Degree in Computer Science, Information Technology, Engineering, or Related Field 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Contract 💰 Salary ₹8–15 LPA* 🏢 Industry Non-Tech 🛠 Key Skills ETL Development Data Integration IBM DataStage Data Warehousing Data Modeling Data Engineer – Data Integration at IBM — Full Details & How to Apply IBM is seeking a Data Engineer – Data Integration in Bengaluru, Karnataka, India , offering a competitive salary of ₹8–15 LPA* . This role is crucial for enhancing data integration processes within a leading global tech firm. The demand for Data Engineer – Data Integration jobs is surging as companies increasingly rely on data-driven decision-making. This role is pivotal for IBM's growth in data integration, allowing the company to streamline operations and improve data quality for clients across various sectors. IBM , founded in 1911 , employs over 350,000 people globally and is recognized for its innovations in technology and consulting. The company's commitment to fostering a collaborative culture makes it an attractive employer for aspiring data engineers. We encourage 2023, 2024, 2025, 2026 graduates with a Bachelor's Degree in Computer Science, Information Technology, Engineering, or Related Field and 2-5 years experience to apply. This role offers a competitive salary of ₹8–15 LPA* , making it an excellent entry point into the tech industry. Working with IBM DataStage and focusing on ETL Development , Data Integration , and Data Warehousing provides unique exposure to industry-leading tools. This experience not only enhances your employability but also opens doors to advanced roles in data engineering and analytics. 📊 Role Difficulty: Medium | Competition Level: Medium | Fresher Friendly: Yes NexisGrow.com features this opportunity as part of its curated non-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 Integration role at IBM is to ensure seamless data integration across platforms, enhancing data accessibility for informed decision-making. Develop and implement ETL processes using IBM DataStage to facilitate efficient data transformation and loading. Utilize data modeling techniques to design robust data warehouses that support critical business intelligence initiatives. Collaborate with cross-functional teams, including data analysts and software developers, to align data integration strategies with overarching business objectives. Monitor data quality metrics to ensure compliance with IBM's 100% data quality score standard, enhancing data reliability. Take ownership of data integration projects , driving initiatives from conception through execution and reporting to stakeholders. Document data integration processes and communicate findings to stakeholders, ensuring transparency and alignment throughout the project lifecycle. Troubleshoot data-related issues and provide client-facing support to resolve integration challenges effectively. This role fosters an ownership culture, allowing you to directly impact data strategies and contribute to the success of IBM through innovative solutions. Required Skills & Technical Competencies The ideal candidate for the Data Engineer – Data Integration role should possess a strong technical skill set tailored to data integration and warehousing. Technical Skills ETL Development — intermediate — Essential for transforming and loading data efficiently using IBM DataStage . Data Integration — intermediate — Critical for ensuring disparate data sources work together seamlessly, impacting overall data strategy. IBM DataStage — advanced — The primary tool used for ETL processes, requiring deep proficiency for effective data integration. Data Warehousing — intermediate — Necessary for organizing and storing data effectively, vital for analytics and reporting. Data Modeling — intermediate — Involves creating data structures that optimize data retrieval and analysis, enhancing decision-making capabilities. When showcasing these technical skills in your resume or interview, emphasize specific projects or experiences that demonstrate your proficiency with each tool or technology. Eligibility Criteria This role is designed for candidates who are eager to start their careers in data engineering and possess the necessary educational background. Candidates must hold a Bachelor's Degree in Computer Science , Information Technology , Engineering , or related fields. Eligible batches include 2023 , 2024 , 2025 , and 2026 , allowing fresh graduates to apply. The role requires 2-5 years of experience , but freshers with relevant internships or projects may also be considered. A minimum academic performance of 60% is preferred, ensuring a solid foundational knowledge. Having a portfolio or GitHub showcasing relevant projects can significantly enhance a candidate's application. 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 IBM DataStage and any data integration projects you've completed. Salary for Data Engineer – Data Integration at IBM 💰 Compensation ₹8–15 LPA* The advertised compensation for the Data Engineer – Data Integration role at IBM is ₹8–15 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 Integration Upskilling with the right resources significantly enhances your chances of selection for this specific role by aligning your skills with job requirements. Recommended Courses & Resources MS Office — Proficiency in MS Office tools is essential for data reporting and analysis. Communication Skills — Strong communication is crucial for collaborating with teams and presenting data insights. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Neglecting to tailor your resume — Focus on relevant skills for data engineering. ❌ Failing to demonstrate practical experience — Highlight your use of IBM DataStage or similar tools. ❌ Overloading your resume with generic skills — Concentrate on specific data-related competencies. ❌ Ignoring the importance of a well-structured portfolio — Showcase your data projects effectively. ❌ Submitting applications without proofreading — Ensure your application is error-free. ❌ Not following up on your application status — Stay proactive to avoid missed opportunities. Before You Apply — Checklist ✅ Research IBM 's recent projects and initiatives to tailor your application effectively. ✅ Update your resume to reflect relevant skills and experiences related to data engineering. ✅ Prepare a portfolio or GitHub repository showcasing your data projects. ✅ Ensure your LinkedIn profile is up-to-date and aligns with your resume. ✅ Gather references from professors or previous employers who can vouch for your skills. ✅ Practice common interview questions related to data engineering and integration. ✅ Review the job description thoroughly to understand the key responsibilities. ✅ Submit your application before the deadline to avoid last-minute issues. Resume Tailoring & ATS Keywords for Data Engineer – Data Integration Optimizing your resume for ATS is crucial for ensuring it gets noticed for this role. ATS Keywords to Include Data Engineer Data Integration ETL Development IBM DataStage Data Warehousing Data Modeling Data Quality Hybrid Work Bengaluru Contract Position Information Technology Computer Science Resume Tips for This Role Highlight your experience with ETL tools, especially IBM DataStage , to align with the job requirements. Emphasize any relevant projects or internships that demonstrate your skills in data integration and warehousing. Include a link to your GitHub or portfolio showcasing your data-related work to stand out. Optimize your resume for ATS by using keywords from the job description, such as 'Data Integration' and 'ETL Development'. Avoid including unrelated work experience or skills that do not pertain to data engineering. 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 experiences that do not enhance your application for this specific role. How to Apply for Data Engineer – Data Integration at IBM Apply Now — IBM Visit the IBM careers portal and search for the Data Engineer – Data Integration position. Prepare your resume, ensuring it highlights relevant skills and experiences specific to data engineering. Fill out the application form accurately, ensuring all details are correct. After submission, monitor your email for updates regarding your application status. Use the application tracking feature on the portal to keep tabs on 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 has grown to have a global presence in over 170 countries . With its headquarters located in Armonk, New York , the company employs over 350,000 employees . This extensive workforce enables IBM to maintain a significant influence in the technology sector, particularly in cloud computing and AI solutions . IBM offers a diverse range of products and services, including IBM Cloud , IBM Watson , and Red Hat OpenShift . These platforms are designed to enhance data analytics and integration capabilities, catering to various industries. The focus on data warehousing and data modeling positions IBM as a leader in providing innovative solutions for businesses worldwide. Recognized for its exceptional workplace culture, IBM has consistently ranked in the Fortune 100 Best Companies to Work For. The company promotes employee satisfaction through various programs and initiatives, fostering a supportive environment. With over 350,000 employees , IBM emphasizes the importance of diversity and inclusion within its workforce. Recently, IBM announced a strategic shift towards hybrid cloud and AI, investing $1 billion in research and development. This initiative aims to enhance its data integration capabilities, reflecting the company's commitment to innovation. Such developments underscore IBM 's dedication to staying at the forefront of technology. Starting a career at IBM offers freshers unparalleled access to cutting-edge technologies and a robust professional network. With a strong focus on employee development, IBM serves as an ideal launchpad for those looking to build a successful career in the non-tech sector. The combination of resources and mentorship available at IBM is invaluable for new professionals. Company Details Industry Non-Tech Location Bengaluru, Karnataka, 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 Integration at IBM? Eligibility Tap to expand + Answer Candidates with Bachelor's Degree in Computer Science, Information Technology, Engineering, or Related Field and 2-5 years experience are eligible. Eligible batches: 2023, 2024, 2025, 2026. ? What skills are most important for this role? Skills Tap to expand + Answer Key skills: ETL Development, Data Integration, IBM DataStage, Data Warehousing, Data Modeling. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: ₹8–15 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: ETL Development, Data Integration, IBM DataStage, Data Warehousing, Data Modeling. ? 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 Integration interview? Preparation Tap to expand + Answer (1) Core concepts of ETL Development, Data Integration, IBM DataStage, Data Warehousing, Data Modeling, (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. 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