📋 Job Details at a Glance 📍 Location Pune, Maharashtra, India 🏢 Company Cummins 👥 Experience 2+ years 🎓 Qualification Bachelor’s Degree or equivalent experience 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary Not Disclosed 🏢 Industry Technology 🛠 Key Skills SQL Spark Scala Java ETL/ELT Kafka Hadoop MongoDB Cloud Data Pipelines Data Engineer – Senior 1 at Cummins — Full Details & How to Apply Cummins is seeking a Senior Data Engineer in Pune, Maharashtra, India to drive innovation in data solutions. This role offers freshers a chance to work with cutting-edge technologies like GenAI and AI/ML , making it an exceptional opportunity for those looking to excel in the tech industry. Data engineering is increasingly vital as companies rely on data-driven decisions, and the Data Engineer – Senior 1 role at Cummins is crucial for enhancing the efficiency of data pipelines. As businesses prioritize data solutions, this position directly contributes to Cummins ' growth in the technology sector, ensuring high-quality data delivery to clients. What sets Cummins apart is its long-standing commitment to sustainability and innovation, founded in 1919 and now employing over 60,000 individuals globally. This rich history and focus on cutting-edge technology make Cummins an attractive employer for aspiring data engineers looking to make a difference in the industry. We encourage 2023, 2024, 2025, 2026 graduates with a Bachelor’s Degree or equivalent experience and 2+ years experience to apply. The salary for this role is Not Disclosed , but the potential for growth and learning is substantial. In this role, you will work with essential skills such as SQL , Spark , Scala , Java , ETL/ELT , Kafka , Hadoop , MongoDB , Cloud , Data Pipelines , Data Modeling , GenAI , and AI/ML . This experience will open doors to advanced career opportunities in data engineering, setting you apart from peers in similar roles. 📊 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 – Senior 1 at Cummins is to design and implement robust data pipelines that enhance data accessibility and quality across various projects. Design and implement data pipelines using Spark and Scala to ensure efficient data processing and integration for large datasets. Utilize SQL for querying large datasets, optimizing performance for data retrieval tasks to support business intelligence initiatives. Collaborate with cross-functional teams, including Data Science and IT , to align data engineering efforts with business objectives and project goals. Monitor and improve data quality metrics , ensuring a Data Quality Score of 100 is maintained across all projects for reliability. Take ownership of ETL/ELT processes, driving initiatives to enhance data transformation workflows and streamline data integration. Document data models and processes, ensuring clear communication and knowledge sharing within the team for future reference. Troubleshoot data-related issues , providing solutions that enhance client-facing applications and services, improving user experience. This role fosters an ownership culture, allowing you to directly impact data quality and accessibility, driving significant value for Cummins and its clients. Required Skills & Technical Competencies The skill profile for this role emphasizes proficiency in various technologies essential for effective data engineering and processing. Technical Skills SQL — intermediate — essential for querying and managing data, enabling effective data manipulation and retrieval. Spark — advanced — used for large-scale data processing, crucial for handling big data workloads in this role. Scala — advanced — applied in developing data processing applications, necessary for building scalable data solutions. ETL/ELT — intermediate — knowledge of these processes is vital for transforming and loading data efficiently. Kafka — intermediate — familiarity with this tool is important for managing real-time data streams and ensuring data availability. When showcasing these technical skills in your resume or interview, emphasize specific projects where you applied these technologies effectively. Eligibility Criteria This role is designed for candidates with a solid educational background and relevant experience in data engineering. A Bachelor’s Degree in Computer Science , Information Technology , or related fields is required. Eligible batches include 2023 , 2024 , 2025 , and 2026 , providing freshers a direct entry point into the industry. A minimum of 2 years of experience is required, allowing for a blend of fresh talent and seasoned professionals. A CGPA of 7.0 or above is preferred to ensure a strong academic background in relevant subjects. Having a portfolio or GitHub showcasing relevant projects can significantly enhance your application for this role. Documentation & Portfolio Requirements Ensure your resume is formatted clearly, including your educational background, relevant experience, and links to your portfolio or GitHub showcasing your projects. Pro tip: Highlight specific projects in your portfolio that demonstrate your proficiency in Spark , Scala , and ETL/ELT processes to stand out in your application. Salary for Data Engineer – Senior 1 at Cummins 💰 Compensation Not Disclosed The advertised compensation for the Data Engineer – Senior 1 role at Cummins 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 – Senior 1 Upskilling with the right resources significantly enhances your chances of selection for this specific role by equipping you with essential skills. Recommended Courses & Resources SQL — Mastering SQL is crucial for data manipulation and querying in data engineering. Scala — Scala is essential for working with big data frameworks like Apache Spark. Java — Proficiency in Java is beneficial for building data pipelines and applications. MongoDB — Understanding MongoDB is important for handling NoSQL databases in data engineering. KodNest — This platform offers practical projects that enhance your data engineering skills. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Failing to tailor your resume — Highlight relevant skills and experiences specific to data engineering. ❌ Neglecting practical projects — Showcase internships or projects that demonstrate your technical abilities. ❌ Using generic language — Use specific technical terms that align with the job description. ❌ Overlooking measurable achievements — Include quantifiable successes in past roles or projects. ❌ Not preparing for technical interviews — Practice relevant data engineering problems to enhance your readiness. ❌ Submitting applications without proofreading — Check for errors or inconsistencies before submission. Before You Apply — Checklist ✅ Research Cummins and understand its core values and recent developments before applying. ✅ Update your resume to reflect relevant skills and experiences tailored to the job description. ✅ Prepare a cover letter that highlights your interest in data engineering and your fit for the role. ✅ Gather any necessary documents, such as transcripts or certifications, to support your application. ✅ Ensure your LinkedIn profile is up-to-date and aligns with your resume. ✅ Practice common data engineering interview questions to prepare for the interview process. ✅ Set up a tracking system for your applications to monitor progress and follow up if necessary. ✅ Review the application portal for any specific instructions or requirements before submission. Resume Tailoring & ATS Keywords for Data Engineer – Senior 1 Optimizing your resume for ATS is crucial for ensuring it gets noticed for this role. ATS Keywords to Include Data Engineer SQL Spark Scala ETL Kafka Hadoop MongoDB Cloud Data Pipelines Data Modeling GenAI Resume Tips for This Role Highlight your experience with SQL and data modeling, as these are critical for the role. Emphasize any projects or internships related to data engineering or big data technologies. Include links to your GitHub or portfolio showcasing relevant work to demonstrate practical skills. Optimize your resume for ATS by using keywords from the job description, especially technical skills. Avoid including irrelevant 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: Avoid including generic job descriptions that do not reflect your specific contributions or achievements in data engineering. How to Apply for Data Engineer – Senior 1 at Cummins Apply Now — Cummins 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 accurately, paying attention to required fields. After submission, you will receive a confirmation email; keep an eye on your inbox for updates. Use the application tracking feature on the portal to monitor your application status. Applications reviewed on a rolling basis — early submission recommended. Apply Now — Cummins NexisGrow.com does not charge any fees for job applications. Cummins Cummins was founded in 1919 and has expanded its operations to include over 600 locations worldwide, with its headquarters situated in Columbus, Indiana . The company employs more than 60,000 individuals globally, with a significant presence in Pune, Maharashtra , contributing to its robust global footprint in the power solutions sector. The core offerings of Cummins include advanced engine technologies , power generation systems , and innovative energy solutions . Notable products include the QSK Series Engines and Cummins Power Generation systems, which are designed to meet diverse customer needs across various industries, enhancing operational efficiency and sustainability. Cummins has cultivated a strong workplace culture, earning accolades such as the 2022 Best Places to Work recognition on Glassdoor for its commitment to employee satisfaction and diversity initiatives. The company actively promotes employee development through programs like the Cummins Leadership Development Program , fostering an inclusive environment that values diverse perspectives. Recently, Cummins announced a strategic investment in AI technologies , focusing on enhancing data-driven operations and solutions. This initiative reflects the company's commitment to innovation, as it aims to integrate advanced technologies such as GenAI and AI/ML into its product offerings, positioning itself at the forefront of the industry. For freshers in Technology, Cummins offers a robust career launchpad, providing opportunities to work with cutting-edge technologies like Cloud solutions and Data Pipelines . The chance to learn from industry leaders and engage in real-world projects ensures that new employees gain invaluable experience and skills that are highly sought after in the technology sector. Company Details Industry Technology Location Pune, Maharashtra, India Connect With Us Careers Apply Now Website 🔗 fa-espx-saasfaprod1.fa.ocs.oraclecloud.com Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for Data Engineer – Senior 1 at Cummins? Eligibility Tap to expand + Answer Candidates with Bachelor’s Degree or equivalent experience and 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, Spark, Scala, Java, ETL/ELT. 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 Cummins? 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: SQL, Spark, Scala, Java, ETL/ELT. ? 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 – Senior 1 interview? Preparation Tap to expand + Answer (1) Core concepts of SQL, Spark, Scala, Java, ETL/ELT, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) Cummins research, (5) Clear communication. ? What is the work culture like at Cummins? 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 Pune Browse all Tech jobs Latest Fresher jobs More jobs at Cummins 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. 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