Data Engineer at EXL
EXL · Gurgaon, Haryana, India
- Salary: ₹8–₹15 LPA
- Experience: 2-5 years
📋 Job Details at a Glance 📍 Location Gurgaon, Haryana, India 🏢 Company EXL 👥 Experience 2-5 years 🎓 Qualification Bachelor’s or master’s degree in engineering. 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary ₹8–₹15 LPA 🏢 Industry Technology 🛠 Key Skills Data engineering data pipelines ETL data processing storage optimization data modelling troubleshooting technical documentation Data Engineer at EXL — Full Details & How to Apply EXL is seeking a Data Engineer in Gurgaon, Haryana, India , where you can leverage your skills in data pipelines and ETL to drive impactful solutions in the technology sector. This role is pivotal as the demand for data engineers is surging, making it a key position for EXL 's growth and innovation. The importance of the Data Engineer role in the technology industry cannot be overstated. As organizations increasingly rely on data-driven decision-making, skilled professionals are essential for building efficient data processing systems. This role directly influences the quality of insights provided to clients, ensuring that EXL remains competitive in a rapidly evolving market. EXL is an employer with extensive experience in analytics and business process management, having been founded in 1999 and now employing over 30,000 professionals globally. The company fosters a culture of innovation and collaboration, making it an ideal environment for a Data Engineer to thrive and contribute to meaningful projects. We encourage 2023, 2024, 2025, 2026 graduates with a Bachelor’s or master’s degree in engineering and 2-5 years experience to apply for this role. The salary range of ₹8–₹15 LPA reflects the value placed on skilled data professionals in the industry. In this role, you will work with essential skills such as data engineering , data pipelines , ETL , data processing , storage optimization , data modelling , and troubleshooting . This exposure not only enhances your technical expertise but also opens doors to rapid career advancement in a growing tech environment. 📊 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 role at EXL is to design and maintain robust data pipelines that facilitate efficient data processing and enhance operational efficiency for clients. Design scalable data pipelines using Apache Spark to ensure efficient data flow and processing across various platforms. Utilize ETL tools like Talend to extract, transform, and load data from diverse sources into optimized storage solutions. Collaborate with data scientists and analysts to understand data requirements and deliver actionable insights that drive business decisions. Monitor data processing performance metrics to identify bottlenecks and implement solutions for optimization, ensuring high data quality. Take ownership of troubleshooting data-related issues, ensuring minimal downtime and maintaining system reliability. Document engineering solutions and processes to maintain clear technical documentation for future reference and knowledge sharing. Engage with clients to understand their data needs and provide tailored solutions that enhance their operational efficiency. This role fosters an ownership culture, allowing you to directly impact data quality and operational efficiency, driving success for both EXL and its clients. Required Skills & Technical Competencies The skill profile for this role emphasizes a strong foundation in data engineering and technical competencies essential for building and maintaining data pipelines. Technical Skills Data engineering — advanced — essential for building and maintaining data pipelines, requiring a solid understanding of data architecture. ETL processes — intermediate — critical for transforming raw data into usable formats, ensuring data integrity and accessibility. Data processing — advanced — involves using tools like Apache Spark for efficient data manipulation and analysis. Data modeling — intermediate — necessary for structuring data in a way that aligns with business needs and improves query performance. Troubleshooting — advanced — important for identifying and resolving data issues quickly to maintain system reliability. When showcasing these technical skills in your resume or interview, emphasize specific projects or experiences that demonstrate your proficiency and impact in real-world scenarios. Eligibility Criteria This role is designed for candidates with a strong academic background in engineering and relevant experience in data engineering. Candidates must hold a Bachelor's or Master's degree in engineering to provide the foundational knowledge required for data engineering. Eligible batches include 2023 to 2026 , allowing recent graduates to apply and start their careers in a leading tech company. The experience requirement of 2-5 years indicates that freshers may need to demonstrate relevant internships or projects to qualify. A minimum academic performance of 60% is expected to ensure candidates have a solid understanding of engineering principles. Having a portfolio or GitHub showcasing relevant projects can significantly enhance a fresher's application. Documentation & Portfolio Requirements Ensure your resume is formatted clearly, including your educational background, relevant projects, and technical skills. Highlight your experience with specific tools and technologies. Pro tip: Tailor your application by including specific examples of how you have utilized Apache Spark or Talend in your projects to demonstrate your hands-on experience. Salary for Data Engineer at EXL 💰 Compensation ₹8–₹15 LPA The advertised compensation for the Data Engineer role at EXL 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 Upskilling with the right resources significantly enhances your chances of selection for the Data Engineer role at EXL . Recommended Courses & Resources data processing — Essential for mastering data manipulation and ETL processes. KodNest — Provides hands-on experience with data pipelines and storage optimization. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Neglecting to tailor your resume — Customize your resume for the specific skills listed in the job description. ❌ Failing to include relevant projects — Highlight internships or projects that demonstrate practical experience in data engineering. ❌ Using overly technical jargon — Ensure clarity to avoid confusing recruiters. ❌ Not researching EXL's recent projects — Familiarize yourself with the company's initiatives to enhance your interview performance. ❌ Ignoring formatting and readability — Make your resume visually appealing and easy to read. ❌ Submitting applications without proofreading — Eliminate errors that could detract from your professionalism. Before You Apply — Checklist ✅ Research EXL 's recent projects and initiatives to tailor your application. ✅ Update your resume to reflect relevant skills and experiences specific to data engineering. ✅ Prepare a cover letter that highlights your interest in data and how you align with EXL 's goals. ✅ Gather references who can vouch for your technical skills and work ethic. ✅ Ensure your LinkedIn profile is up-to-date and reflects your resume. ✅ Practice common data engineering interview questions to prepare for the interview process. ✅ Double-check the application portal for any specific submission guidelines. ✅ Set reminders for follow-up actions after submitting your application. Resume Tailoring & ATS Keywords for Data Engineer Optimizing your resume for ATS is crucial for standing out in the selection process for the Data Engineer role. ATS Keywords to Include Data engineering Data pipelines ETL Data processing Storage optimization Data modeling Troubleshooting Technical documentation Apache Spark Talend Data quality Collaboration Resume Tips for This Role Highlight specific projects that demonstrate your experience with data pipelines and ETL processes. Emphasize teamwork and collaboration skills, particularly in cross-functional settings. Include links to your portfolio or GitHub to showcase relevant technical projects. Optimize your resume for ATS by using keywords from the job description. Avoid generic statements; focus on quantifiable achievements and specific skills. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro tip: Avoid including irrelevant work experience that does not pertain to data engineering. How to Apply for Data Engineer at EXL Apply Now — EXL 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 with accurate personal and educational details. After submission, you can expect a confirmation email acknowledging your application. Track your application status through the portal for updates on the hiring process. Applications reviewed on a rolling basis — early submission recommended. Apply Now — EXL NexisGrow.com does not charge any fees for job applications. EXL EXL was founded in 1999 and is headquartered in New York . With a global footprint, the company employs over 30,000 professionals across various domains, including Gurgaon, Haryana . This extensive workforce allows EXL to deliver innovative solutions to clients worldwide, enhancing operational efficiency. The core offerings of EXL include advanced analytics solutions and comprehensive business process management services . The company leverages technologies such as data engineering and ETL processes to optimize data pipelines and storage solutions, ensuring clients achieve their operational goals effectively. EXL has received numerous accolades for its workplace culture, including a Glassdoor rating of 4.1 . This rating reflects high levels of employee satisfaction and engagement, supported by various programs aimed at professional development and well-being, fostering a collaborative environment for all employees. Recently, EXL announced a strategic partnership with a leading AI firm to enhance its analytics capabilities . This initiative demonstrates the company's commitment to technological advancement and positions it for future growth, further solidifying its reputation in the technology sector. Joining EXL as a fresher in technology offers a unique platform to work alongside industry leaders. The opportunity to engage in cutting-edge data engineering practices allows new employees to gain invaluable hands-on experience, setting a strong foundation for their careers in the tech industry. Company Details Industry Technology Location Gurgaon, Haryana, India Connect With Us Careers Apply Now Website 🔗 fa-ewjt-saasfaprod1.fa.ocs.oraclecloud.com Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for Data Engineer at EXL? Eligibility Tap to expand + Answer Candidates with Bachelor’s or master’s degree in engineering. 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: Data engineering, data pipelines, ETL, data processing, storage optimization. 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 EXL? 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, data pipelines, ETL, data processing, storage optimization. ? 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 interview? Preparation Tap to expand + Answer (1) Core concepts of Data engineering, data pipelines, ETL, data processing, storage optimization, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) EXL research, (5) Clear communication. ? What is the work culture like at EXL? 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 Gurgaon Browse all Tech jobs Latest Fresher jobs More jobs at EXL 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