Data Engineer-Data Platforms-Google at IBM

📋 Job Details at a Glance 📍 Location Gurgaon, Haryana 🏢 Company IBM 👥 Experience Experienced Professionals 🎓 Qualification Bachelor's or Master’s Degree in Computer Science, Information Technology, Data Engineering, or Related Field 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary ₹10 – ₹20 LPA 🏢 Industry Technology 🛠 Key Skills Data Engineering Google Cloud Platform (GCP) Data Engineer-Data Platforms-Google at IBM — Full Details & How to Apply IBM is seeking a skilled Data Engineer for its Data Platforms team in Gurgaon . This role offers an unparalleled opportunity to work with cutting-edge technologies in a rapidly evolving landscape. As a key player in the Data Engineer-Data Platforms-Google position, you will be at the forefront of transforming data into actionable insights that drive strategic decisions. In today's data-driven world, the role of a Data Engineer is more crucial than ever. Organizations are increasingly relying on data insights to inform their strategies, making this position vital for success. The demand for skilled professionals in data engineering is skyrocketing, particularly within the technology sector. As businesses pivot to cloud-based solutions, the need for expertise in platforms like Google Cloud Platform (GCP) is becoming essential. By stepping into this role, you will not only enhance your career but also contribute to the broader industry trends that are shaping the future of technology. IBM stands out as a leader in technology innovation, providing a collaborative environment that fosters creativity and growth for data professionals. With a strong commitment to employee development, IBM offers various resources and opportunities for continuous learning. This includes access to advanced tools and technologies, mentorship programs, and a culture that encourages innovation. Working at IBM means being part of a company that is consistently recognized for its contributions to the tech industry, making it an ideal place for aspiring Data Engineers . This role is ideal for both freshers and candidates with up to 3 years of experience . If you hold a Bachelor's or Master’s Degree in Computer Science, Information Technology, Data Engineering, or a related field , and belong to the eligible batches of 2023, 2024, 2025, and 2026 , you are encouraged to apply. Your educational background will provide a solid foundation for the technical skills required in this role. As a Data Engineer at IBM , you will gain invaluable experience in cloud architecture , production-grade Java development , and Agile workflows . These skills are not only essential for this role but also highly sought after in the job market, ensuring that you remain competitive in your career. Your contributions will directly impact the efficiency of data platforms, enabling data-driven solutions that significantly influence business outcomes. NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting, ensuring you have the most accurate and up-to-date information to apply online for this Data Engineer-Data Platforms-Google position at IBM . Job Role & Responsibilities The role of a Data Engineer at IBM is pivotal in shaping the data landscape within the organization. As part of the data platforms team, you will design and implement robust data solutions that drive business insights and decision-making. Design and implement scalable data pipelines using Google Cloud Platform to ensure efficient data processing and storage. Utilize tools such as BigQuery , Dataflow , and Cloud Storage to manage and analyze large datasets effectively. Collaborate with data scientists and analysts to understand data requirements and deliver high-quality data solutions. Monitor data workflows and optimize performance metrics to enhance the reliability of data platforms. Take ownership of projects, driving continuous improvement and innovation in data engineering practices. Document processes and create reports to communicate findings and insights to stakeholders clearly. Identify and troubleshoot data-related issues , proposing innovative solutions to enhance data integrity. Participate in code reviews and contribute to the development of best practices in data engineering. At IBM , we foster an ownership culture where you will be empowered to take initiative and make impactful contributions, ensuring that our data platforms are not only reliable but also innovative. Required Skills & Technical Competencies We are seeking a candidate with a strong skill profile in data engineering to effectively build and manage data pipelines that meet business needs. Your expertise will be crucial in leveraging Google Cloud Platform tools and ensuring data integrity. Technical Skills Data Engineering Principles — essential for building robust data pipelines that meet business needs. Google Cloud Platform (GCP) — hands-on experience required for leveraging cloud capabilities effectively. SQL (Intermediate to Advanced) — necessary for manipulating and analyzing data efficiently. Python — beneficial for developing data processing scripts and automating workflows. Data Modeling Techniques — important for structuring data effectively for analysis. BigQuery — experience in using this tool for large-scale data analysis is crucial. Dataflow — familiarity with this tool for stream and batch data processing is a plus. Soft Skills & Professional Competencies Analytical Skills — necessary to address data challenges and optimize solutions. Problem-Solving — ability to identify issues and propose innovative solutions. Communication Skills — essential for collaborating with cross-functional teams and stakeholders. Time Management — important for managing multiple projects and meeting deadlines. Good to Have (Bonus) Java — knowledge beneficial for developing data processing applications. Apache Kafka — experience with this tool for real-time data streaming is a plus. Tableau — familiarity with this tool for data visualization can enhance your application. To effectively showcase these skills in your resume or during an interview, highlight specific projects or experiences that demonstrate your proficiency in data engineering and your hands-on experience with Google Cloud Platform tools. Eligibility Criteria This role is designed for candidates who are passionate about data engineering and eager to innovate within the field. We welcome both freshers and experienced professionals who meet the following criteria. Candidates must hold a Bachelor's or Master’s Degree in Computer Science , Information Technology , Data Engineering , or a related field. Eligible batches: 2023, 2024, 2025, and 2026 passouts. Minimum CGPA of 7.0 is preferred to ensure a solid academic foundation in technical subjects. Prior internship or hands-on project experience is a strong advantage. Both freshers and candidates with up to 2 years of experience are encouraged to apply. Demonstrable skills in relevant technologies will strengthen your application. Documentation & Portfolio Requirements Prepare a well-structured resume that highlights your academic achievements and relevant projects. Additionally, include links to your GitHub or portfolio showcasing any relevant certifications or projects. Pro Tip: Tailor your application by emphasizing your experience with Google Cloud Platform tools and any relevant projects to improve your success rate. Salary & Benefits 💰 Compensation ₹10 – ₹20 LPA The compensation philosophy at IBM for the role of Data Engineer-Data Platforms-Google is designed to attract top talent in the competitive technology industry. The salary range for this position is ₹10 – ₹20 LPA , reflecting the company's commitment to offering a competitive salary that aligns with industry standards and employee expertise. What Your CTC Could Include Health Insurance — comprehensive coverage for employee and family worth ₹5 lakh annually Learning & Development Programs — access to extensive training, certifications, and mentorship opportunities Flexible Work Hours — promoting a healthy work-life balance with hybrid work options Performance-Based Bonuses — additional financial incentives based on individual and company performance Meal Allowances — support for daily meal expenses Transportation Support — assistance for commuting costs Additional Perks & Benefits Stock Options — opportunity to own a part of the company Annual Learning Budget — up to ₹25,000 per year for certifications, courses, and conferences Wellness Programs — initiatives aimed at promoting mental and physical health Employee Discounts — exclusive offers on various products and services Team Building Activities — regular events to foster team spirit and collaboration Career Progression & Salary Growth At IBM , career growth is supported through structured promotion timelines and annual performance appraisals. Employees can expect an average raise of 10-15% annually, depending on performance and market conditions. The company encourages internal mobility, allowing employees to explore different roles and departments, facilitating rapid career advancement . NexisGrow.com tip: When discussing salary, consider highlighting your unique skills and experiences that align with the role to negotiate effectively. Selection Process IBM follows a rigorous hiring philosophy aimed at identifying candidates who not only possess the necessary technical skills but also align with the company's values. The selection process for the Data Engineer-Data Platforms-Google role is designed to ensure a thorough evaluation of each applicant. 1 Round 1: Application Screening — Initial screening of applications based on qualifications and relevant experience. 2 Round 2: Technical Interview — Focus on data engineering skills and problem-solving capabilities through technical questions and coding challenges. 3 Round 3: Behavioral Interview — Assessment of cultural fit and teamwork skills aligned with IBM 's core values. 4 Final Stage: Background Check — Verification of credentials followed by offer discussion, including salary and role expectations. What Each Round Tests Round 1 primarily evaluates your qualifications and relevant experience. Round 2 dives deep into your technical skills , particularly in data engineering. Round 3 assesses your communication skills and ability to work within a team, ensuring a good cultural fit. Timeline & Expectations The entire selection process typically takes 4-6 weeks from application submission to final offer. Candidates can expect timely communication regarding their application status and next steps throughout the process. Interview Prep Tip: Familiarize yourself with IBM 's core values and be prepared to discuss how your experiences align with them. How to Apply for Data Engineer-Data Platforms-Google at IBM Apply Now — IBM Create Your Profile — Start by visiting the IBM careers page and creating a profile. Upload Your Resume — Highlight relevant projects and skills that align with the Data Engineer role. Fill Out the Application Form — Ensure all sections are completed accurately, focusing on your technical expertise. Track Your Application — Monitor your application status through your profile dashboard. Prepare for Interviews — Research common interview questions and practice your responses. Resume & Profile Tips for This Role Emphasize your experience with Google Cloud Platform and relevant data engineering projects. Highlight your proficiency in Python and other technical skills pertinent to the role. Include any hands-on project experience that showcases your problem-solving abilities. Tailor your resume to reflect the key responsibilities mentioned in the job description. Note: Applications are reviewed on a rolling basis, so applying early can significantly increase your chances of consideration. Apply Now — Official Link NexisGrow.com does not charge any fees for job applications. Frequently Asked Questions Interview · Role · Salary · Growth ? What are the eligibility criteria for the Data Engineer role at IBM? Eligibility Tap to expand + Answer Candidates must have a Bachelor's or Master’s Degree in relevant fields and belong to the 2023-2026 batches. ? What is the interview process for Data Engineer at IBM? Interview Tap to expand + Answer The interview process includes an application screening, a technical interview, and a behavioral interview. ? What technologies and tools will I work with? Tech Stack Tap to expand + Answer You will primarily work with Google Cloud Platform tools like BigQuery and Dataflow, along with SQL and Python. ? What is the salary and compensation for this role? Salary Tap to expand + Answer The salary ranges from ₹10 – ₹20 LPA, with opportunities for performance bonuses and growth. ? Is this role work from home, hybrid, or onsite? Work Mode Tap to expand + Answer This role offers a hybrid work model, allowing flexibility in work arrangements. ? What is the career growth path after joining IBM as a Data Engineer? Growth Tap to expand + Answer You can expect structured growth within 6-12 months, with opportunities for promotions and skill development. ? How should I prepare for the Data Engineer interview at IBM? Preparation Tap to expand + Answer Focus on your technical skills in data engineering, familiarize yourself with GCP, and practice problem-solving scenarios. ? How do I apply and what documents are needed? Application Tap to expand + Answer Apply through the IBM careers page, ensuring your resume highlights relevant skills and projects. ? Is there a probation period and what does it involve? Probation Tap to expand + Answer Yes, there is a standard probation period where performance will be evaluated to ensure fit for the role. ? What is the work culture like at IBM? Culture Tap to expand + Answer IBM promotes a culture of collaboration, diversity, and continuous learning, encouraging innovation and teamwork. 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. 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