📋 Job Details at a Glance 📍 Location Gurugram, Haryana 🏢 Company ReNew 👥 Experience 2-4 Years 🎓 Qualification Any Graduate 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary Not Disclosed 🏢 Industry Technology 🛠 Key Skills Python SQL Apache Spark Kafka Hive Microsoft Azure Databricks Data Factory Blob Storage Git Data Engineer at ReNew — Full Details & How to Apply ReNew is seeking a talented Data Engineer to join our team in Gurugram . This role offers an unparalleled chance to shape the future of data-driven solutions in the technology sector, making it a pivotal position in today’s data-centric landscape. The role of a Data Engineer is increasingly vital as organizations harness the power of data to drive decisions and innovations. With the rise of big data and analytics, the demand for skilled professionals in this field is skyrocketing. Companies are looking for experts who can build robust data pipelines and architecture that facilitate real-time analytics and insights. This is where the Data Engineer role becomes crucial, as it directly influences data architecture and analytics, enhancing operational efficiency and decision-making processes. ReNew stands out as a leader in the technology industry, fostering a culture of innovation and sustainability. This makes it an ideal workplace for aspiring Data Engineers . The company is committed to leveraging cutting-edge technologies like Apache Spark , Kafka , and Microsoft Azure to drive sustainable solutions. Employees at ReNew benefit from a collaborative environment that encourages continuous learning and professional growth, making it a prime destination for tech talent. This role is ideal for both freshers and candidates with up to 4 years of experience . We encourage B.Tech or MCA graduates from the 2023, 2024, 2025, and 2026 batches to apply. Candidates must possess a strong foundation in programming languages such as Python and SQL , along with familiarity with tools like Git and JIRA . Prior internship or hands-on project experience is a strong advantage, as it equips candidates with the practical skills necessary for success in this role. As a Data Engineer at ReNew , you will gain invaluable experience in cloud architecture , production-grade data processing , and Agile workflows . You will work with advanced technologies like Databricks and Data Factory , allowing you to tackle real-world challenges and contribute to innovative projects that make a difference. This position not only enhances your technical skills but also prepares you for rapid career advancement in a fast-evolving industry. NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. If you're ready to take the next step in your career, don't miss the chance to apply online for this Data Engineer position at ReNew . Job Role & Responsibilities The role of a Data Engineer at ReNew is pivotal in shaping the data ecosystem, ensuring that data flows seamlessly and is readily available for analysis and decision-making. As a key player in the technology industry, you will be responsible for building robust data pipelines that support various business functions. Design and implement robust data pipelines to support data ingestion and processing at ReNew , ensuring high data quality and availability. Utilize tools such as Apache Spark and Azure Data Factory to develop scalable data solutions, optimizing performance and resource utilization. Collaborate with data scientists and analysts to understand data requirements and deliver actionable insights that drive business strategies. Monitor and troubleshoot data workflows , ensuring timely delivery of data products and minimizing downtime through proactive measures. Take ownership of data projects, guiding junior engineers and contributing to a culture of continuous learning and improvement. Document data processes and workflows clearly, ensuring transparency and ease of understanding for stakeholders across the organization. Innovate data solutions to address complex business problems, leveraging emerging technologies and methodologies to enhance data capabilities. Participate in code reviews and contribute to the development of best practices within the data engineering team. At ReNew , we foster an ownership culture where every Data Engineer is empowered to make impactful decisions, ensuring that your contributions directly influence the company's success and growth. Required Skills & Technical Competencies We are seeking a candidate with a diverse skill profile that combines technical expertise with the ability to solve complex data challenges. The ideal Data Engineer will possess a strong foundation in data processing and cloud technologies, enabling them to drive data initiatives effectively. Technical Skills Python (Proficient) — essential for building data processing scripts and automating workflows. SQL (Advanced) — crucial for querying and managing large datasets, enabling effective data manipulation and analysis. Apache Spark (Intermediate) — vital for handling big data processing tasks efficiently. Microsoft Azure (Familiarity) — enhances the ability to work within the cloud ecosystem effectively. Databricks (Basic) — used for collaborative data science and engineering workflows. Data Factory (Intermediate) — utilized for orchestrating data workflows in Azure. Blob Storage (Familiarity) — essential for storing large amounts of unstructured data. Git (Proficient) — for version control and collaboration on code repositories. Soft Skills & Professional Competencies Problem-solving — ability to analyze data issues and develop effective solutions. Effective communication — necessary for collaborating with cross-functional teams and conveying technical concepts. Time management — essential for meeting project deadlines and managing multiple tasks efficiently. Team collaboration — working effectively with diverse teams to achieve common goals. Good to Have (Bonus) Kafka — experience with stream processing and real-time data pipelines. Hive — knowledge in data warehousing solutions for big data analytics. JIRA — familiarity with project management tools for tracking progress. To showcase these skills effectively in your resume or interview, focus on specific projects where you utilized these technologies and highlight your contributions to data-driven outcomes. Eligibility Criteria This role is designed for candidates who are eager to embark on a career in data engineering and possess the necessary educational background and experience. We welcome applications from 2023, 2024, 2025, and 2026 graduates who are ready to make an impact at ReNew . Candidates must hold a degree in any discipline , with a preference for those with a background in computer science or engineering. Eligible batches include 2023, 2024, 2025, and 2026 passouts. Experience of 2-4 years is preferred, focusing on practical exposure to data engineering roles. A minimum CGPA of 7.0 is preferred, reflecting a strong academic foundation. Projects on GitHub or relevant certifications in data engineering or cloud technologies will significantly enhance the application. Prior internship or hands-on project experience is a strong advantage. Documentation & Portfolio Requirements Prepare a well-structured resume that highlights your technical skills, relevant projects, and any certifications. A strong GitHub portfolio showcasing your data engineering projects will be beneficial. Pro Tip: Tailor your application to emphasize your experience with the specific tools and technologies mentioned in the job description to improve your application success rate. Salary & Benefits 💰 Compensation Not Disclosed The compensation philosophy at ReNew emphasizes providing a competitive salary that aligns with industry standards for the Data Engineer role. Although specific salary details are not disclosed , the company ensures that its employees receive a comprehensive compensation package that reflects their skills and contributions. What Your CTC Could Include Health Insurance — comprehensive coverage for employee and family worth ₹5 lakh annually Retirement Benefits — contributions to provident fund and pension schemes Paid Time Off — generous leave policies including vacation and sick leave Performance Bonuses — annual bonuses based on individual and company performance Flexible Work Arrangements — options for hybrid working models to promote work-life balance Additional Perks & Benefits Annual Learning Budget — up to ₹25,000 per year for certifications, courses, and conferences Meal Allowances — daily meal stipends to enhance employee satisfaction Transportation Support — assistance with commuting costs Mentorship Programs — access to experienced professionals for career guidance Team Building Activities — regular events to foster team spirit and collaboration Career Progression & Salary Growth At ReNew , employees can expect regular appraisal cycles, typically occurring every 6 months , with raise percentages averaging 10-15% based on performance. The company promotes rapid career advancement through clear growth paths and opportunities for internal mobility, ensuring that employees are recognized for their contributions and can progress in their careers. NexisGrow.com tip: When discussing salary, research industry standards and be prepared to articulate your value based on your skills and experience. Selection Process The hiring philosophy at ReNew focuses on identifying candidates who not only possess the necessary technical skills for the Data Engineer role but also fit well within the company culture. The selection process is designed to evaluate both technical and soft skills, ensuring a holistic approach to hiring. 1 Round 1: Initial Screening Interview — a discussion focusing on resume details and basic technical skills relevant to the Data Engineer role. 2 Round 2: Technical Interview — an assessment of proficiency in Python , SQL , and data engineering concepts through practical problems. 3 Round 3: Behavioral Interview — an evaluation of cultural fit and soft skills, including teamwork and problem-solving capabilities . 4 Final Stage: Offer Stage — includes background checks and discussions on salary and benefits. What Each Round Tests Round 1 focuses on understanding your background and basic technical knowledge. Round 2 dives deeper into your technical skills, particularly in Python and SQL . Round 3 assesses your communication skills and how well you align with ReNew 's values. Timeline & Expectations The entire selection process typically spans 3-4 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 common data engineering problems and practice coding challenges to excel in the technical interview. How to Apply for Data Engineer at ReNew Apply Now — ReNew Step 1: Click the Apply button or visit the official career link at ReNew Careers to initiate your application. Step 2: Fill in your profile/resume, highlighting relevant skills and experiences that align with the Data Engineer job requirements. Step 3: Expect a confirmation email regarding your application status, along with details about the screening process. Step 4: Applications are accepted on a rolling basis, so early submission is encouraged to increase your chances of consideration. Step 5: Tailor your resume to emphasize your experience with the required technologies and any relevant projects to stand out. Resume & Profile Tips for This Role Highlight your proficiency in Python and SQL prominently. Include any relevant hands-on project experience that showcases your skills. Emphasize your problem-solving abilities and teamwork experiences. List any certifications or courses related to data engineering. Submitting your application early can significantly enhance your chances of being considered for the Data Engineer position. 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 ReNew? Eligibility Tap to expand + Answer Candidates must possess a degree in any discipline, with a preference for technical backgrounds, and should be from the 2023 to 2026 batches. ? What is the interview process for Data Engineer at ReNew? Interview Tap to expand + Answer The interview process includes an initial screening, a technical assessment, and a behavioral interview to gauge both skills and cultural fit. ? What technologies and tools will I work with? Tech Stack Tap to expand + Answer You will primarily work with Python, SQL, Apache Spark, and Microsoft Azure, among other tools, to build and manage data solutions. ? What is the salary and compensation for this role? Salary Tap to expand + Answer While specific salary details are not disclosed, ReNew offers competitive compensation and performance-based bonuses. ? Is this role work from home, hybrid, or onsite? Work Mode Tap to expand + Answer The role is primarily onsite in Gurugram, with potential for hybrid arrangements depending on project needs. ? What is the career growth path after joining ReNew as a Data Engineer? Growth Tap to expand + Answer Expect a structured growth roadmap with opportunities for promotions and skill enhancement within the first 6-12 months. ? How should I prepare for the Data Engineer interview at ReNew? Preparation Tap to expand + Answer Focus on brushing up your skills in Python, SQL, and data engineering principles, and be ready to discuss relevant projects. ? How do I apply and what documents are needed? Application Tap to expand + Answer Apply through the official link, providing a tailored resume and any relevant project portfolios or certifications. ? 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 a good fit within the team. ? What is the work culture like at ReNew? Culture Tap to expand + Answer ReNew fosters a collaborative and inclusive culture, emphasizing continuous learning, teamwork, and innovation. 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