📋 Job Details at a Glance 📍 Location Hyderabad, Telangana, India 🏢 Company Experian 👥 Experience 3-6 years 🎓 Qualification BE/BTech/BCA/MCA or equivalent 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary ₹18–28 LPA 🏢 Industry Technology 🛠 Key Skills Scala Apache Spark AWS Terraform CI/CD Docker Kubernetes Senior Data Engineer at Experian — Full Details & How to Apply Experian is seeking a Senior Data Engineer in Hyderabad, Telangana, India , offering a competitive salary of ₹18–28 LPA . This role is pivotal in enhancing data quality and analytics capabilities, making it an excellent opportunity for aspiring data professionals. The demand for skilled data engineers is surging in India, with companies like Experian investing heavily in data-driven solutions. As organizations increasingly rely on data analytics, the role of a Senior Data Engineer is crucial for ensuring robust data infrastructure and high-quality data management. Experian , founded in 1996 , employs over 17,000 people globally and operates in 40 countries, making it a leader in data analytics. The company’s commitment to innovation creates a supportive environment for professionals looking to advance their careers in technology. This position is ideal for 2023, 2024, 2025, 2026 graduates with a BE/BTech/BCA/MCA or equivalent qualification and 3-6 years experience . With a salary range of ₹18–28 LPA , this role offers a lucrative entry point into the tech industry. In this role, you will work with cutting-edge technologies such as Scala , Apache Spark , AWS , Terraform , CI/CD , Docker , and Kubernetes . Gaining expertise in these areas will not only enhance your skill set but also open doors to advanced career opportunities in data engineering 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 Senior Data Engineer at Experian is to design and implement robust data solutions that enhance data accessibility and usability across the organization. Design and implement scalable data pipelines using Apache Spark to efficiently process large datasets, ensuring optimal performance and reliability. Utilize AWS services, such as S3 and EC2 , to deploy and manage cloud-based data solutions, maintaining high availability and security. Collaborate with data scientists and analysts to understand data requirements, delivering actionable insights that drive business decisions. Monitor data quality metrics to maintain a Data Quality Score of 100 , ensuring reliability in data-driven decisions. Take ownership of data architecture projects, driving initiatives that enhance data accessibility and usability for stakeholders. Document data engineering processes and workflows to facilitate knowledge sharing and compliance with industry standards. Engage with clients to troubleshoot data-related issues, providing solutions that enhance user experience and satisfaction. This role fosters an ownership culture, allowing you to make a direct impact on data-driven initiatives that shape the future of Experian . Required Skills & Technical Competencies The Senior Data Engineer role requires a strong skill profile in data engineering technologies to effectively manage and optimize data workflows. Technical Skills Scala — advanced — essential for building robust data processing applications, requiring proficiency in functional programming concepts. Apache Spark — advanced — used for large-scale data processing, enabling real-time analytics and batch processing in Experian 's data ecosystem. AWS — intermediate — critical for cloud infrastructure management, with hands-on experience expected in services like S3 and EC2 . Terraform — intermediate — utilized for infrastructure as code, allowing for automated and consistent deployment of data solutions. CI/CD — intermediate — knowledge of continuous integration and deployment practices is vital for maintaining code quality and accelerating release cycles. When showcasing these technical skills in your resume or interview, emphasize specific projects or experiences that demonstrate your proficiency and impact. Eligibility Criteria This role is designed for candidates with a solid educational background and relevant experience in data engineering. Candidates must hold a BE/BTech/BCA/MCA or equivalent, providing a strong foundation in software development and data management. Eligible batches include 2023 , 2024 , 2025 , and 2026 , allowing recent graduates to apply and start their careers in data engineering. The role requires 3-6 years of experience, but freshers with relevant internships or projects can also be considered. A minimum academic performance of 60% is preferred, ensuring candidates have a solid understanding of technical concepts. 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 qualifications, relevant experience, and technical skills. Include links to your portfolio or GitHub for showcasing projects. Pro tip: Tailor your application to highlight specific experiences with AWS and Apache Spark , as these are critical for this role. Salary for Senior Data Engineer at Experian 💰 Compensation ₹18–28 LPA The advertised compensation for the Senior Data Engineer role at Experian is ₹18–28 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 Senior Data Engineer Upskilling with the right resources significantly enhances your chances of being selected for the Senior Data Engineer role at Experian . Recommended Courses & Resources Scala — Mastering Scala is essential for data processing tasks in this role. AWS — Understanding AWS services is crucial for cloud-based data solutions. Terraform — Learn infrastructure as code to manage cloud resources effectively. CI/CD — Familiarity with CI/CD practices ensures smooth deployment of data applications. KodNest — This platform 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 job requirements. ❌ Neglecting to showcase relevant projects or internships — crucial for demonstrating practical skills. ❌ Overlooking the importance of keywords from the job description — affects ATS screening. ❌ Submitting a generic cover letter — personalize it to address the company's values and needs. ❌ Ignoring the application deadline — always check for urgency. ❌ Not preparing for technical interviews — practice coding challenges and system design. Before You Apply — Checklist ✅ Research Experian 's recent projects and initiatives to tailor your application. ✅ Update your resume to highlight relevant skills and experiences specific to data engineering. ✅ Prepare a portfolio or GitHub repository showcasing your best work in data-related projects. ✅ Review the job description thoroughly to understand the key responsibilities and required skills. ✅ Practice common technical interview questions related to data engineering and cloud technologies. ✅ Ensure your LinkedIn profile is up-to-date and reflects your qualifications and skills. ✅ Network with current or former Experian employees for insights into the company culture. ✅ Double-check your application for any errors before submission. Resume Tailoring & ATS Keywords for Senior Data Engineer Optimizing your resume for ATS is crucial for securing the Senior Data Engineer position at Experian . ATS Keywords to Include Senior Data Engineer Scala Apache Spark AWS Terraform CI/CD Docker Kubernetes Data Quality Data Pipelines Cloud Solutions Data Architecture Resume Tips for This Role Highlight your experience with Scala and Apache Spark , as these are critical for the role. Emphasize any projects or internships that involved data engineering or cloud technologies. Include a link to your GitHub or portfolio showcasing relevant work to demonstrate your skills. Optimize your resume for ATS by using keywords from the job description, particularly technical skills. Avoid including unrelated work experience that does not pertain to data engineering or technology. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro tip: Do not include unrelated job experiences that do not showcase your data engineering skills. How to Apply for Senior Data Engineer at Experian Apply Now — Experian Visit the application portal and create an account if you don't have one. Upload your resume, ensuring it is tailored to the job description. Fill out the application form accurately, highlighting your relevant experiences. After submission, you will receive a confirmation email regarding your application status. Use the application portal to track your application progress. Applications reviewed on a rolling basis — early submission recommended. Apply Now — Experian NexisGrow.com does not charge any fees for job applications. Experian Experian was founded in 1996 and is headquartered in Dublin, Ireland . With a significant presence in Hyderabad, Telangana, India , the company employs over 17,000 professionals globally. Its operations span across more than 40 countries, showcasing a robust global footprint in the technology sector. The core offerings of Experian include advanced data analytics, credit scoring, and fraud detection services. Notable products such as Experian Boost and Data Quality Solutions empower businesses to enhance their decision-making processes. These solutions cater to various sectors, including finance, retail, and telecommunications, demonstrating the company's versatility in data solutions. Experian has received multiple accolades for its workplace culture, including a 4.2 rating on Glassdoor , reflecting high employee satisfaction. The company actively promotes diversity and inclusion through various employee programs, fostering a supportive environment that encourages professional growth and collaboration among its workforce. Recently, Experian announced a strategic partnership with a leading AI firm to enhance its AI capabilities . This initiative aims to leverage machine learning for improved data insights, showcasing the company's commitment to innovation in data technology. Such developments position Experian at the forefront of the evolving tech landscape. For freshers in technology, Experian offers a unique career launchpad. The opportunity to work with cutting-edge technologies such as Apache Spark and AWS allows new employees to gain invaluable experience. Additionally, mentorship programs and hands-on projects provide a solid foundation for professional growth in the data engineering field. Company Details Industry Technology Location Hyderabad, Telangana, India Connect With Us Careers Apply Now Website 🔗 jobs.smartrecruiters.com Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for Senior Data Engineer at Experian? Eligibility Tap to expand + Answer Candidates with BE/BTech/BCA/MCA or equivalent and 3-6 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: Scala, Apache Spark, AWS, Terraform, CI/CD. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: ₹18–28 LPA. Final offer depends on skills, experience, and interview performance. ? What is the interview process at Experian? 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: Scala, Apache Spark, AWS, Terraform, CI/CD. ? Is there a probation period? Probation Tap to expand + Answer Standard 3–6 months probation. Confirmation follows successful completion. ? How to prepare for the Senior Data Engineer interview? Preparation Tap to expand + Answer (1) Core concepts of Scala, Apache Spark, AWS, Terraform, CI/CD, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) Experian research, (5) Clear communication. ? What is the work culture like at Experian? 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 Latest Fresher jobs More jobs at Experian 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