📋 Job Details at a Glance 📍 Location Gurgaon, Haryana, India 🏢 Company Guardian Life 👥 Experience 0-2 years 🎓 Qualification Relevant technical qualification and demonstrated shipping experience 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary Not Disclosed 🏢 Industry Technology 🛠 Key Skills SQL AWS Git CI/CD Spark Databricks PySpark Apache Spark Data Engineer at Guardian Life — Full Details & How to Apply Guardian Life is seeking a Data Engineer in Gurgaon, Haryana, India , to build scalable data pipelines using technologies like Databricks and PySpark. This role is a perfect fit for aspiring data professionals. The importance of this Data Engineer role in the technology sector cannot be overstated. As organizations increasingly rely on data-driven decisions, the demand for skilled data engineers is surging. This position at Guardian Life addresses this need and contributes to the company's innovative data solutions. Guardian Life is an attractive workplace for emerging talent due to its focus on technology and data solutions. The company fosters a culture of innovation and collaboration, essential for developing effective data management strategies. This role is ideal for candidates who are 2023, 2024, 2025, 2026 graduates with a relevant technical qualification and demonstrated shipping experience and 0-2 years experience . The salary for this position is Not Disclosed , but the experience gained will be invaluable for your career trajectory. In this role, you will gain hands-on experience with essential skills such as SQL , AWS , Git , CI/CD , Spark , Databricks , and PySpark . This experience will enhance your technical skill set and open doors to advanced positions in data engineering and analytics. 📊 Role Difficulty: Low | 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 Guardian Life is to develop robust data pipelines that enhance data accessibility and quality for informed decision-making. Develop scalable data pipelines for structured and semi-structured data using Databricks and PySpark to ensure efficient data processing. Utilize advanced SQL skills for data manipulation, including complex joins and window functions, to extract meaningful insights. Collaborate with engineering teams to implement ETL processes and data warehousing solutions, leveraging AWS for cloud-based storage. Monitor and optimize performance of data processes using techniques in Spark and SQL to enhance operational efficiency. Maintain and support codebases related to data engineering tasks and projects, ensuring high-quality standards. Document processes and improvements for data quality and monitoring frameworks, facilitating knowledge sharing. Troubleshoot data-related issues and provide solutions to enhance operational efficiency, utilizing Git for version control. This role fosters an ownership culture, allowing you to make a direct impact on data-driven strategies and operational success at Guardian Life . Required Skills & Technical Competencies The skill profile for this role emphasizes proficiency in data engineering tools and technologies essential for building efficient data solutions. Technical Skills SQL — entry — essential for data manipulation and performance tuning in data pipelines. Databricks — entry — used for building and managing data workflows and clusters effectively. PySpark — entry — critical for processing large datasets and implementing ETL tasks efficiently. AWS — entry — important for deploying data solutions and ensuring cloud-based storage. CI/CD — entry — utilized for ensuring continuous integration and deployment of data solutions. Spark — entry — central to optimizing data processes and enhancing performance metrics. Git — entry — necessary for maintaining version control of codebases related to data engineering tasks. When showcasing these technical skills in your resume or interview, emphasize specific projects or experiences where you applied these tools effectively. Eligibility Criteria This role is designed for candidates with a relevant technical qualification and a keen interest in data engineering. Candidates must possess a relevant technical qualification to understand data engineering concepts. Eligible batches include 2023 , 2024 , 2025 , and 2026 . Experience requirement is 0-2 years , welcoming freshers and early-career candidates. Academic performance requirements are not specified in the job posting. Experience with projects, GitHub , internships, or certifications is not specified in the job posting. Documentation & Portfolio Requirements Ensure your resume is clear and concise, highlighting relevant projects and experiences that align with the role's requirements. Pro tip: Tailor your application to emphasize your hands-on experience with Databricks and PySpark to stand out in the selection process. Salary for Data Engineer at Guardian Life 💰 Compensation Not Disclosed The advertised compensation for the Data Engineer role at Guardian Life is Not Disclosed . 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 by aligning your skills with job requirements. Recommended Courses & Resources SQL — Essential for data manipulation and querying in this role. AWS — Crucial for cloud-based data solutions and infrastructure. Git — Important for version control and collaboration on data projects. CI/CD — Key for automating deployment and integration processes. KodNest — Useful for hands-on coding practice and real-world projects. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Applying without demonstrating SQL proficiency — Provide specific examples of your SQL experience. ❌ Using a generic resume — Tailor your resume to the job description's responsibilities. ❌ Listing technologies like Databricks without details — Detail your application of these technologies in past projects. ❌ Ignoring the requirement for relevant qualifications — Ensure you meet the stated qualifications and experience levels. ❌ Adding unrelated technologies or unsupported claims — Stick to relevant skills and experiences. ❌ Failing to verify the official Apply URL — Always check the URL and job details before submission. Before You Apply — Checklist ✅ Confirm the job title, company, location, work mode, and experience requirement. ✅ Check that you meet the supplied qualification criteria. ✅ Verify eligibility against the supplied eligible batches and experience requirement. ✅ Add relevant supplied JD keywords naturally to your resume. ✅ Highlight projects or experience related to the supplied technologies and responsibilities. ✅ Remove unsupported technologies, achievements, or experience claims. ✅ Open and verify the supplied Apply URL before submitting the application. ✅ Save the job details, application date, and role-specific resume version for tracking. Resume Tailoring & ATS Keywords for Data Engineer Optimizing your resume for ATS is crucial for ensuring it gets noticed for the Data Engineer role. ATS Keywords to Include SQL AWS Git CI/CD Spark Databricks PySpark Apache Spark ETL Data Warehousing Data Modeling Performance Optimization Resume Tips for This Role Highlight SQL skills prominently, as they are critical for data manipulation in this role. Emphasize experience with Databricks and PySpark, as these are key technologies for the position. Showcase projects that involved building data pipelines or working with cloud platforms. Use exact keywords from the job description to ensure ATS alignment without overloading your resume. Avoid including unsupported technologies or experiences that cannot be substantiated. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro tip: Avoid including unrelated experiences or unsupported claims in your resume for this role. How to Apply for Data Engineer at Guardian Life Search Similar Jobs on NexisGrow Open the supplied official Apply URL and confirm the job title and company. Prepare a resume aligned with the supplied skills, responsibilities, qualification, and experience requirement. Complete the official application form accurately and avoid unsupported claims. Submit the application and save the confirmation or application reference if the portal provides one. Record the application date and monitor the official company portal or registered email for updates. Applications reviewed on a rolling basis — early submission recommended. Search Similar Jobs on NexisGrow NexisGrow.com does not charge any fees for job applications. Guardian Life Guardian Life , founded in 1860 , has established itself as a significant player in the insurance and financial services sector. With its headquarters located in Gurgaon, Haryana , the company employs over 10,000 professionals globally, showcasing its extensive reach and influence in the industry. The company offers a range of products, including life insurance , disability insurance , and retirement solutions . Its innovative platforms, such as Guardian Anytime , provide clients with seamless access to services, enhancing customer experience and engagement. Guardian Life fosters a culture of collaboration and inclusivity, receiving accolades such as the Great Place to Work certification. Employee programs focus on professional development, ensuring that team members have access to resources that promote growth and innovation. Recently, Guardian Life has embarked on a digital transformation initiative, investing in advanced technologies to enhance its service offerings. This includes the integration of cloud-based solutions to streamline operations and improve data management capabilities. For freshers in Technology, Guardian Life serves as a robust career launchpad. The opportunity to work with cutting-edge tools such as AWS and Databricks allows new talent to gain invaluable experience in data engineering and cloud technologies, setting a strong foundation for future career growth. Company Details Industry Technology Location Gurgaon, Haryana, India Connect With Us Careers Apply Now Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for Data Engineer at Guardian Life? Eligibility Tap to expand + Answer Candidates with Relevant technical qualification and demonstrated shipping experience and 0-2 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: SQL, AWS, Git, CI/CD, Spark. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: Not Disclosed. Final offer depends on skills, experience, and interview performance. ? What is the interview process at Guardian Life? 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 company's official careers page. ? 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 SQL, AWS, Git, CI/CD, Spark, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) Guardian Life research, (5) Clear communication. ? What is the work culture like at Guardian Life? Culture Tap to expand + Answer Research on LinkedIn and Glassdoor for authentic employee reviews. 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