📋 Job Details at a Glance 📍 Location Bengaluru, Karnataka, India 🏢 Company KPMG Global Services 👥 Experience 0-2 years 🎓 Qualification B.E./B.Tech, MCA, M.Tech, or Bachelor's/Master's Degree in Computer Science, Information Technology, Data Science, Engineering, or Related Field 📅 Eligible Batch 2022, 2023, 2024, 2025 📄 Job Type Full Time 💰 Salary ₹6–10 LPA* 🏢 Industry Technology 🛠 Key Skills Data Engineering ETL Processes Data Warehousing Big Data Technologies Data Visualization Tools Executive – GDC (Data Engineer) at KPMG Global Services — Full Details & How to Apply KPMG Global Services is seeking an Executive – GDC (Data Engineer) in Bengaluru, Karnataka, India , offering freshers a competitive salary of ₹6–10 LPA* . This role is crucial for driving data solutions in a leading technology firm, providing an excellent entry point into the booming field of data engineering. The demand for data engineers is surging as companies increasingly rely on data-driven decision-making, making this role vital for KPMG Global Services ' growth. As organizations prioritize data analytics, the need for skilled professionals who can manage and interpret vast data sets has never been greater, positioning this role at the forefront of technological advancement. KPMG Global Services , part of KPMG International, was founded in 1987 and has over 200,000 employees globally, showcasing its scale and influence. This extensive network not only enhances your professional exposure but also provides a collaborative environment where innovation thrives, making it an ideal workplace for aspiring data engineers. We encourage 2022, 2023, 2024, 2025 graduates with a B.E./B.Tech, MCA, M.Tech, or Bachelor's/Master's Degree in Computer Science, Information Technology, Data Science, Engineering, or Related Field to apply. Candidates with 0-2 years experience will find this role particularly rewarding, as it offers a competitive salary of ₹6–10 LPA* and a pathway to career advancement. In this role, you will gain hands-on experience with essential skills such as Data Engineering , ETL Processes , Data Warehousing , Big Data Technologies , and Data Visualization Tools . This exposure not only sets you apart from peers in the industry but also opens doors to advanced positions in data analytics and engineering, paving the way for a robust career trajectory. 📊 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 Executive – GDC (Data Engineer) at KPMG Global Services is tasked with optimizing data processes to enhance data-driven decision-making across various projects. Develop and optimize ETL processes using Apache NiFi to ensure efficient data flow and transformation. Utilize Big Data technologies such as Hadoop and Spark to manage and analyze large datasets effectively. Collaborate with cross-functional teams, including Data Analysts and Business Intelligence teams, to deliver actionable insights. Monitor data quality metrics to ensure compliance with KPMG's 100% data quality score standard. Take ownership of data documentation and reporting processes to maintain transparency and accuracy in data handling. Engage in problem-solving initiatives to address client-specific data challenges , enhancing overall service delivery. Communicate findings and recommendations to stakeholders through data visualization tools like Tableau . This role fosters an ownership culture, allowing you to make a direct impact on data management and client satisfaction. Required Skills & Technical Competencies The ideal candidate will possess a robust skill profile in data engineering and related technologies to effectively contribute to our data initiatives. Technical Skills Data Engineering — entry — Essential for building robust data pipelines and ensuring efficient data flow. ETL Processes — entry — Critical for data integration; familiarity with tools like Talend or Informatica is advantageous. Data Warehousing — entry — Understanding of concepts like star schema and snowflake schema is necessary for effective data organization. Big Data Technologies — entry — Knowledge of frameworks like Hadoop and Spark is crucial for handling large-scale data processing. Data Visualization Tools — entry — Proficiency in tools such as Tableau or Power BI is expected for presenting data insights. When showcasing these technical skills in your resume or interview, emphasize your hands-on experience and specific projects that demonstrate your proficiency. Eligibility Criteria This role is designed for recent graduates eager to start their careers in data engineering with a strong technical foundation. Candidates must hold a B.E./B.Tech , MCA , M.Tech , or a related degree. Eligible batches include 2022 , 2023 , 2024 , and 2025 . The role is open to freshers with 0-2 years of experience. A minimum academic performance of 60% is preferred. Having a portfolio or GitHub showcasing relevant projects can provide a competitive edge. Documentation & Portfolio Requirements Ensure your resume is clear and concise, highlighting relevant skills and projects. Include links to your portfolio or GitHub for a comprehensive view of your work. Pro tip: Tailor your application to highlight specific projects that align with the responsibilities of the Executive – GDC (Data Engineer) role. Salary for Executive – GDC (Data Engineer) at KPMG Global Services 💰 Compensation ₹6–10 LPA* The advertised compensation for the Executive – GDC (Data Engineer) role at KPMG Global Services is ₹6–10 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 Executive – GDC (Data Engineer) Upskilling with the right resources significantly enhances your chances of selection for this role by equipping you with the necessary skills and knowledge. Recommended Courses & Resources ETL Processes — Mastering ETL is crucial for effective data handling in engineering roles. Data Visualization Tools — Proficiency in visualization tools aids in presenting data insights effectively. KodNest — This course provides hands-on experience with real-world data engineering projects. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Failing to tailor the resume for the specific role — ensure alignment with the job description. ❌ Neglecting to showcase technical skills — include specific tools and technologies used in projects. ❌ Overlooking the importance of a cover letter — a well-crafted letter can highlight your motivation. ❌ Submitting a generic application — address the company's values or mission in your application. ❌ Ignoring the application deadline — timely submissions are crucial for consideration. ❌ Not preparing for technical interviews — practice common data engineering problems and scenarios. Before You Apply — Checklist ✅ Research KPMG Global Services to understand its culture and values before applying. ✅ Update your resume to reflect relevant skills and experiences tailored to the job description. ✅ Prepare a cover letter that articulates your interest in the role and the company. ✅ Gather any necessary documents, such as transcripts or certifications, for the application. ✅ Double-check the application URL and ensure all fields are filled out accurately. ✅ Review your LinkedIn profile to ensure it aligns with your resume and application. ✅ Practice common interview questions related to data engineering and technical skills. ✅ Set reminders for follow-up after submitting your application. Resume Tailoring & ATS Keywords for Executive – GDC (Data Engineer) Optimizing your resume for ATS is essential for ensuring it gets noticed for this role, as many companies use automated systems to filter applications. ATS Keywords to Include Data Engineering ETL Processes Data Warehousing Big Data Technologies Data Visualization Apache NiFi Hadoop Spark Tableau Collaboration Documentation Problem-solving Resume Tips for This Role Highlight relevant coursework or projects in data engineering to demonstrate practical knowledge. Emphasize teamwork and collaboration experiences, particularly in tech-related projects. Include a link to your GitHub or portfolio showcasing data-related projects to stand out. Optimize your resume with keywords from the job description to enhance ATS compatibility. Avoid including unrelated work experiences that do not align with the data engineering role. 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; focus on relevant technical expertise. How to Apply for Executive – GDC (Data Engineer) at KPMG Global Services Apply Now — KPMG Global Services Visit the application portal and create an account if you don't have one. Upload your resume in PDF format, ensuring it is tailored to the job description. Fill out the application form accurately, paying attention to required fields. After submission, expect a confirmation email regarding your application status. Track your application through the portal for updates on the hiring process. Applications reviewed on a rolling basis — early submission recommended. Apply Now — KPMG Global Services NexisGrow.com does not charge any fees for job applications. KPMG Global Services KPMG Global Services was established in 1987 and has grown to operate in over 150 countries , with its headquarters located in Bengaluru, Karnataka, India . The company employs a diverse workforce of over 40,000 professionals in India alone, contributing to its significant global footprint and robust service delivery capabilities. The core offerings of KPMG Global Services include audit, tax, and advisory services, utilizing advanced technologies such as data analytics and cloud computing . The firm has developed proprietary platforms like KPMG Clara , which enhances audit efficiency and effectiveness, showcasing its commitment to innovation in service delivery. KPMG Global Services has been recognized for its inclusive culture, earning a 4.2 rating on Glassdoor , which reflects high employee satisfaction. The company actively promotes professional development through various programs, including mentorship initiatives and leadership training, fostering a supportive work environment for its employees. Recently, KPMG Global Services announced a strategic partnership with Microsoft to enhance its data analytics capabilities. This collaboration aims to leverage cloud technologies and AI solutions , positioning the firm for future growth and innovation in the technology sector. For freshers in technology, KPMG Global Services offers a unique launchpad into the field of data engineering. With access to global projects and mentorship from industry leaders, new employees can gain invaluable experience and skills that are essential for career advancement in the technology landscape. Company Details Industry Technology Location Bengaluru, Karnataka, India Connect With Us Careers Apply Now Website 🔗 ejgk.fa.em2.oraclecloud.com Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for Executive – GDC (Data Engineer) at KPMG Global Services? Eligibility Tap to expand + Answer Candidates with B.E./B.Tech, MCA, M.Tech, or Bachelor's/Master's Degree in Computer Science, Information Technology, Data Science, Engineering, or Related Field 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: Data Engineering, ETL Processes, Data Warehousing, Big Data Technologies, Data Visualization Tools. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: ₹6–10 LPA*. Final offer depends on skills, experience, and interview performance. ? What is the interview process at KPMG Global Services? 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: Data Engineering, ETL Processes, Data Warehousing, Big Data Technologies, Data Visualization Tools. ? Is there a probation period? Probation Tap to expand + Answer Standard 3–6 months probation. Confirmation follows successful completion. ? How to prepare for the Executive – GDC (Data Engineer) interview? Preparation Tap to expand + Answer (1) Core concepts of Data Engineering, ETL Processes, Data Warehousing, Big Data Technologies, Data Visualization Tools, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) KPMG Global Services research, (5) Clear communication. ? What is the work culture like at KPMG Global Services? Culture Tap to expand + Answer Research on LinkedIn and Glassdoor for authentic employee reviews. 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