📋 Job Details at a Glance 📍 Location Noida, Uttar Pradesh, India 🏢 Company EXL 👥 Experience 0-2 years 🎓 Qualification Bachelor's in CS, IT, Engineering or Data Science 📅 Eligible Batch 2022, 2023, 2024, 2025 📄 Job Type Full Time 💰 Salary ₹6–10 LPA* 🏢 Industry Technology 🛠 Key Skills Python SQL Databricks Apache Spark Snowflake Azure AWS GCP Data Engineer at EXL — Full Details & How to Apply EXL is seeking a Data Engineer in Noida, Uttar Pradesh, India , offering freshers a chance to work with cutting-edge technologies like Databricks and Apache Spark. This role provides a unique opportunity to build data pipelines that directly impact business decisions. The demand for Data Engineer jobs is surging as companies increasingly rely on data-driven insights, making this role crucial for EXL 's growth in the technology sector. As organizations prioritize data accessibility and quality, the need for skilled data engineers has never been more pronounced, positioning EXL recruitment at the forefront of this trend. Founded in 1999 , EXL has over 30,000 employees globally and specializes in analytics and business process management, setting it apart in the tech landscape. The company’s commitment to innovation creates a supportive environment for new talent, ensuring that your contributions as a Data Engineer will be valued and impactful. We encourage 2022, 2023, 2024, 2025 graduates with a Bachelor's in CS, IT, Engineering or Data Science to apply. This role is ideal for candidates with 0-2 years experience , offering a competitive salary of ₹6–10 LPA* . As a Data Engineer at EXL , you will gain hands-on experience with essential skills such as Python , SQL , Databricks , Apache Spark , Snowflake , Azure , AWS , and GCP . This role opens doors to advanced positions like Data Architect or Data Scientist, providing a robust career trajectory in the tech industry. 📊 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 develop robust data pipelines and scalable data models that empower analytics and drive informed decision-making across the organization. Build data pipelines using Python and SQL to automate data extraction and transformation processes, ensuring efficiency and accuracy. Design scalable data models utilizing Snowflake that support the company's analytics needs, enhancing data accessibility. Collaborate with cross-functional teams, including data scientists and business analysts, to ensure data solutions meet user requirements effectively. Monitor data quality and performance metrics to ensure optimal data flow and integrity, utilizing tools like Apache Spark . Take ownership of specific data projects, driving initiatives from conception to implementation, showcasing leadership in data management. Document data workflows and processes to facilitate knowledge transfer and compliance, ensuring clarity in operations. Engage in problem-solving discussions with clients to address data-related challenges, leveraging technical expertise and communication skills. At EXL , we foster a culture of ownership, allowing you to directly impact data-driven decisions and contribute to the company’s success. Required Skills & Technical Competencies The ideal candidate for the Data Engineer position will possess a blend of technical and soft skills essential for effective data management and collaboration. Technical Skills Python — entry to intermediate — essential for building data pipelines and automating processes. SQL — entry to intermediate — crucial for querying databases and managing data through complex queries. Databricks — entry — used for data processing and analytics, familiarity with its interface is beneficial. Apache Spark — entry to intermediate — important for handling large-scale data processing, including writing Spark jobs for transformation. Snowflake — entry to intermediate — utilized for designing scalable data models that support analytics needs. Azure — entry — enhances cloud data management capabilities, making you a valuable asset to the team. AWS — entry — provides cloud solutions for data storage and processing. GCP — entry — opens opportunities for working on diverse cloud-based projects. Soft Skills & Professional Competencies Strong communication skills — necessary for collaborating with teams and presenting data insights effectively. Problem-solving abilities — essential for addressing data-related challenges and providing innovative solutions. Attention to detail — critical for monitoring data quality and ensuring integrity in data processes. Adaptability — important for working in a rapidly evolving technological landscape and learning new tools. Good to Have (Bonus Skills) Knowledge of Azure — enhances cloud data management capabilities, making you a valuable asset to the team. Familiarity with GCP — opens up opportunities for working on diverse cloud-based projects. Experience with data visualization tools — aids in presenting data insights clearly to stakeholders. When showcasing these skills in your resume or interview, emphasize practical applications and specific projects that demonstrate your proficiency and impact. Eligibility Criteria This role is designed for recent graduates eager to start their careers in data engineering and contribute to impactful projects. Candidates must hold a Bachelor's degree in Computer Science , IT , Engineering , or Data Science . Eligible batches include 2022 , 2023 , 2024 , and 2025 , ensuring recent graduates can apply. The role is open to freshers with 0-2 years of experience, making it accessible for new entrants to the job market. A minimum academic performance of 60% is preferred to ensure a strong foundational knowledge base. Having a portfolio or GitHub showcasing relevant projects can significantly enhance your application. Documentation & Portfolio Requirements Ensure your resume is clear and concise, highlighting relevant skills and experiences. Include links to your portfolio or GitHub to showcase your projects. Pro tip: Tailor your application to highlight specific projects that demonstrate your skills in Python and SQL , as these are critical for the role. Salary for Data Engineer at EXL 💰 Compensation ₹6–10 LPA* The advertised compensation for the Data Engineer role at EXL 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. Selection Process at EXL The selection process for the Data Engineer role at EXL is designed to assess both technical skills and cultural fit, ensuring candidates align with the company's values. 1 Online Assessment — 60 minutes, focusing on coding and SQL skills. 2 Technical Interview — assessing knowledge in Python, data structures, and algorithms. 3 Behavioral Interview — evaluating cultural fit and problem-solving abilities through situational questions. 4 HR Interview — discussing salary expectations and company culture, with an offer timeline of 1-2 weeks post-interview. Topic-wise Preparation Guide Round 1: Online Assessment Data Structures — understanding arrays, lists, and dictionaries is crucial for coding tasks. — GeeksForGeeks SQL Queries — practice writing complex queries to extract and manipulate data. — LeetCode Python Basics — focus on syntax, functions, and libraries relevant to data engineering. — W3Schools ETL Processes — familiarize yourself with the concepts of Extract, Transform, Load. — YouTube Round 2: Technical Interview Python Advanced — delve into libraries like Pandas and NumPy for data manipulation. — Coursera SQL Optimization — learn techniques for improving query performance. — GeeksForGeeks Data Modeling — understand how to design efficient data models. — Udemy Apache Spark Fundamentals — grasp the basics of distributed data processing. — Coursera Cloud Technologies — explore Azure and AWS services relevant to data storage and processing. — YouTube Round 3: Behavioral Interview Behavioral Questions — prepare using the STAR method to articulate past experiences. — MindTools Team Collaboration — discuss experiences working in teams and resolving conflicts. — GeeksForGeeks Technical Deep-Dive — be ready to explain your approach to a data engineering project. — Coursera Timeline & Expectations The application to offer timeline is typically 1-2 weeks after the final interview. Prepare thoroughly for each round, focusing on both technical skills and cultural fit to align with EXL 's values. Expected Interview Questions for Data Engineer at EXL The following questions are tailored to the Data Engineer role, focusing on the required technical skills. Technical Questions Explain how you would optimize a SQL query for better performance. Describe a data pipeline you have built and the tools used. What are the differences between ETL and ELT? How do you handle missing data in a dataset? What is your experience with Apache Spark? Can you explain the concept of data normalization? Behavioral Questions Describe a challenging project you worked on and how you overcame obstacles. How do you prioritize tasks when working on multiple projects? Give an example of a time you worked in a team and your role in it. How do you handle feedback and criticism? Role-Specific Questions What is your understanding of data modeling and its importance? How would you approach building a data pipeline for a new project? What tools do you prefer for data visualization and why? Structure your answers using the STAR method to clearly articulate your experiences and thought processes. Resume Tailoring & ATS Keywords for Data Engineer Optimizing your resume for ATS is crucial for standing out in the application process for this role. ATS Keywords to Include Data Engineer Python SQL Databricks Apache Spark Snowflake Azure AWS GCP ETL Data Pipelines Data Modeling Resume Tips for This Role Highlight relevant projects that demonstrate your skills in data engineering. Emphasize your technical skills, particularly those listed in the job description. Include links to your GitHub or portfolio showcasing your work. Optimize your resume for ATS by using keywords from the job description. Avoid including unrelated work experience that does not pertain to the role. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Do not include unrelated work experience; focus on relevant skills and projects to enhance your application. About EXL EXL was founded in 1999 and is headquartered in Noida, Uttar Pradesh, India . With a strong global presence across 25 countries , the company emphasizes its scale and reach in the technology sector. This extensive footprint allows EXL to serve a diverse clientele effectively. EXL specializes in analytics and business process management services, helping clients leverage data for strategic decision-making. Its core offerings include data analytics , cloud services , and business process outsourcing , which are designed to optimize operational efficiency and drive growth. The workplace culture at EXL has garnered recognition, reflected in its Glassdoor rating of 4.1 . The company promotes a supportive environment for freshers through various employee programs, including mentorship initiatives and continuous learning opportunities, fostering professional development. Recently, EXL announced a strategic partnership with Microsoft to enhance its cloud capabilities, showcasing its commitment to technological advancement. This initiative is part of a broader strategy to expand its service offerings and improve client solutions in the evolving tech landscape. Joining EXL as a fresher provides a unique launchpad into the tech industry. Employees gain exposure to real-world projects and receive mentorship from experienced professionals, making it an ideal environment for skill development and career progression. Why Join EXL as Data Engineer? As a Data Engineer at EXL , you will gain hands-on experience with cutting-edge technologies, enhancing your skill set for future roles in the tech industry. Databricks Proficiency — develop expertise in a leading data analytics platform, crucial for modern data engineering tasks. Apache Spark Experience — work with a powerful framework that allows you to handle large datasets efficiently, a vital skill in the data-driven market. Career Advancement — after 1-2 years , transition into advanced roles such as Data Analyst or Data Scientist , broadening your career options. Collaborative Culture — benefit from a culture that encourages knowledge sharing, providing a supportive environment for continuous learning and growth. Hybrid Work Model — enjoy flexibility in your work schedule, enabling you to balance professional and personal commitments effectively. According to NexisGrow.com, starting your career as a Data Engineer at EXL positions you for success in the technology sector, offering invaluable experience and growth opportunities. Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for Data Engineer at EXL? Eligibility Tap to expand + Answer Candidates with Bachelor's in CS, IT, Engineering or Data Science 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: Python, SQL, Databricks, Apache Spark, Snowflake. 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 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: Python, SQL, Databricks, Apache Spark, Snowflake. ? 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 Python, SQL, Databricks, Apache Spark, Snowflake, (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 Noida Browse all Tech jobs More jobs at EXL Work From Home jobs Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. 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