📋 Job Details at a Glance 📍 Location Pune, India 🏢 Company Eaton 👥 Experience Fresher 🎓 Qualification Any Graduate 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary Up to ₹3.4 LPA 🏢 Industry Technology 🛠 Key Skills Communication Skills Problem Solving Basic Computer Knowledge Data Engineering Apprentice at Eaton — Full Details & How to Apply Eaton is seeking passionate individuals for the Data Engineering Apprentice role in Pune, India . This is a unique opportunity to kickstart your career in a leading technology company. As the demand for data-driven decision-making skyrockets, the need for skilled data engineers has never been more critical, making this role a stepping stone into a thriving industry. In today's technology landscape, the Data Engineering Apprentice role is pivotal as organizations increasingly rely on data to inform their business strategies. With the rise of big data and analytics, companies are prioritizing data management and analytics to enhance operational efficiency and drive innovation. This role not only equips you with essential skills but also positions you at the forefront of industry trends, ensuring your career remains relevant and impactful. What sets Eaton apart as an employer is its unwavering commitment to innovation and sustainability. As a global leader in power management solutions, Eaton fosters an environment where creativity and forward-thinking are encouraged. The company’s dedication to developing sustainable solutions means that as a Data Engineering Apprentice , you will be contributing to projects that have real-world implications, making your work meaningful and rewarding. This role is ideal for freshers and candidates with up to 2 years of experience . If you are a B.Tech/MCA graduate from the 2023, 2024, 2025, or 2026 batches, you are encouraged to apply. Your background in technology, coupled with strong communication skills and a knack for problem-solving , will serve you well in this position. This apprenticeship is not just a job; it’s an opportunity to build a solid foundation for your career in data engineering. As a Data Engineering Apprentice , you will gain hands-on experience in cloud architecture , production-grade Java development , and Agile workflows . You will work on real-world projects that will enhance your technical skills and prepare you for future challenges in the field. The structured learning environment at Eaton ensures that you will receive the guidance and mentorship needed to excel in your career. NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. For those looking to embark on a fulfilling career journey, this is your chance to apply online and become a part of a company that values innovation and sustainability. Job Role & Responsibilities The role of a Data Engineering Apprentice at Eaton is pivotal in supporting the company's data integration and analytics initiatives. As a part of a dynamic team, you will assist in creating robust data pipelines that empower informed business decisions. Assist in designing and implementing data pipelines to support various data integration projects, ensuring seamless data flow. Utilize tools such as SQL , Python , and ETL processes to manage and manipulate large datasets effectively, enhancing data accessibility. Collaborate with cross-functional teams to understand data requirements, translating them into actionable insights that drive business strategies. Analyze data trends and metrics to ensure data quality and accuracy, contributing to informed decision-making across departments. Engage in continuous learning and take ownership of small projects, fostering your technical skills and career growth within Eaton . Document processes and findings clearly to facilitate knowledge sharing and maintain data governance standards. Apply problem-solving skills to troubleshoot data-related issues, suggesting innovative solutions to enhance data processes. Participate in team meetings to share insights and updates, ensuring alignment with organizational goals and objectives. This role embodies an ownership culture, allowing you to make a tangible impact on data-driven projects that shape the future of Eaton . Required Skills & Technical Competencies The ideal candidate for the Data Engineering Apprentice position at Eaton should possess a diverse skill set that combines technical expertise with effective communication. This blend is essential for navigating the complexities of data engineering and collaborating with various stakeholders. Technical Skills SQL (Intermediate) — essential for querying and managing relational databases to extract valuable insights. Python (Basic) — utilized for scripting and automating data processing tasks, enhancing efficiency. ETL Processes — knowledge of Extract, Transform, Load methodologies to facilitate data integration. Data Visualization Tools — familiarity with tools like Tableau or Power BI to present data insights effectively. Data Warehousing Concepts — understanding of data storage solutions to support analytics initiatives. Basic Cloud Computing — exposure to platforms like AWS or Azure for data storage and processing. Soft Skills & Professional Competencies Strong communication skills — ability to convey technical concepts to non-technical stakeholders clearly. Problem-solving abilities — adeptness at analyzing issues and developing effective solutions in real-time scenarios. Teamwork — capability to collaborate effectively within cross-functional teams to achieve common goals. Adaptability — readiness to learn new technologies and adjust to changing project requirements. Good to Have (Bonus) Familiarity with Git — understanding version control for collaborative coding projects. Experience with JIRA — knowledge of project management tools for tracking progress and tasks. Exposure to Machine Learning — basic understanding of ML concepts can be advantageous. To effectively showcase these skills in your resume or during interviews for the Data Engineering Apprentice role at Eaton , highlight relevant coursework, projects, and any hands-on experience that demonstrates your technical capabilities and problem-solving mindset. Eligibility Criteria This role is designed for aspiring data engineers who are eager to kickstart their careers in the technology sector. The Data Engineering Apprentice position at Eaton welcomes fresh talent from diverse academic backgrounds. Candidates must hold a degree in any field , with a preference for engineering, computer science, or related fields . Eligible batches: 2023, 2024, 2025, and 2026 passouts are encouraged to apply. Minimum CGPA of 6.0 is preferred to ensure a foundational understanding of academic concepts. This role is primarily for freshers, providing an entry point into the technology sector with no prior experience required . Projects or internships related to data engineering or analytics will strengthen your application. Strong communication skills and a passion for data are essential for success in this role. Documentation & Portfolio Requirements Prepare a well-structured resume that highlights your academic achievements, relevant projects, and any internships. Consider creating a GitHub portfolio to showcase your coding skills and any data-related projects you have completed. Certifications in SQL or Python can also enhance your application. Pro Tip: Tailor your resume to emphasize your problem-solving skills and any hands-on experience with data tools, as these are crucial for the Data Engineering Apprentice role at Eaton . Salary & Benefits 💰 Compensation Up to ₹3.4 LPA The compensation philosophy at Eaton emphasizes providing a competitive salary to attract top talent, especially for the Data Engineering Apprentice role. With a salary of up to ₹3.4 LPA , this position is designed to support fresh graduates entering the technology industry while ensuring their financial well-being. What Your CTC Could Include Health Insurance — comprehensive coverage for employee and family worth ₹5 lakh annually Learning & Development Programs — access to various training sessions and certifications Flexible Working Hours — options for hybrid work to promote work-life balance Performance-Based Bonuses — additional financial incentives based on individual and company performance Meal Allowances — support for daily meals during work hours Additional Perks & Benefits Transportation Support — assistance with commuting costs Mentorship Opportunities — guidance from industry experts to enhance your skills Annual Learning Budget — up to ₹25,000 per year for certifications, courses, and conferences Employee Wellness Programs — initiatives to promote physical and mental health Internal Mobility Options — opportunities to explore various roles within the company Career Progression & Salary Growth At Eaton , appraisal cycles are typically conducted annually, with raises ranging from 10% to 15% based on performance. Clear promotion timelines are established, allowing employees to understand their growth trajectory within the company. The focus on internal promotion policy ensures that dedicated employees have the opportunity for rapid career advancement . NexisGrow.com tip: When negotiating your salary, emphasize your relevant skills and any internships or projects that showcase your capabilities in data engineering. Selection Process The hiring philosophy at Eaton revolves around identifying candidates who not only possess the necessary technical skills but also align with the company’s culture. The selection process for the Data Engineering Apprentice role is designed to evaluate both technical and interpersonal skills. 1 Round 1: Application Screening — Initial review of applications based on qualifications and relevant skills. 2 Round 2: Technical Interview — Focus on problem-solving abilities and basic data engineering concepts. 3 Round 3: Behavioral Interview — Assessment of cultural fit and communication skills within the Eaton team. 4 Final Stage: Offer Letter Issuance — Background verification process to ensure candidate integrity. What Each Round Tests Round 1 assesses your qualifications and relevant skills. Round 2 tests your technical knowledge in data engineering, while Round 3 evaluates your communication skills and how well you fit into the Eaton culture. Timeline & Expectations The entire selection process typically takes 4-6 weeks from application submission to final offer. Candidates can expect timely communication regarding their application status and next steps from Eaton . Interview Prep Tip: Familiarize yourself with common data engineering concepts and practice coding problems to excel in the technical interview. How to Apply for Data Engineering Apprentice at Eaton Apply Now — Eaton Step 1: Click the Apply button or visit the official career link provided to access the application portal. Step 2: Fill in your profile or upload your resume, highlighting relevant skills and projects that align with the Data Engineering Apprentice role. Step 3: Expect a confirmation email regarding your application status and details about the screening process. Step 4: Prepare for interviews by reviewing common data engineering concepts and practicing coding challenges. Step 5: Track your application status through the portal for updates on the selection process. Resume & Profile Tips for This Role Highlight your problem-solving skills and any relevant projects in data engineering. Emphasize your technical skills in Python , SQL , and other relevant tools. Showcase any internships or hands-on project experience related to data. Include your educational background, focusing on your B.Tech in Computer Science or related fields. Applications are accepted on a rolling basis, so early submission is encouraged to increase your chances of securing an interview. 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 Engineering Apprentice role at Eaton? Eligibility Tap to expand + Answer Candidates must be any graduate from the 2023-2026 batches, preferably with a minimum CGPA of 6.0, and no prior experience is required. ? What is the interview process for Data Engineering Apprentice at Eaton? Interview Tap to expand + Answer The interview process includes an application screening, a technical interview assessing data skills, and a behavioral interview to evaluate cultural fit. ? What technologies and tools will I work with? Tech Stack Tap to expand + Answer You will primarily work with SQL and Python for data manipulation, along with ETL tools for data integration. ? What is the salary and compensation for this role? Salary Tap to expand + Answer The salary for the Data Engineering Apprentice role is up to ₹3.4 LPA, with opportunities for performance-based bonuses and growth. ? Is this role work from home, hybrid, or onsite? Work Mode Tap to expand + Answer This role is primarily onsite in Pune, with potential for hybrid work arrangements depending on project needs. ? What is the career growth path after joining Eaton as a Data Engineering Apprentice? Growth Tap to expand + Answer Expect clear growth opportunities within 6-12 months, with potential for advancement to full-time data engineering roles within 2-3 years. ? How should I prepare for the Data Engineering Apprentice interview at Eaton? Preparation Tap to expand + Answer Focus on brushing up on SQL and Python, practice problem-solving scenarios, and prepare to discuss any relevant projects or experiences. ? How do I apply and what documents are needed? Application Tap to expand + Answer Apply through the provided link, ensuring your resume highlights relevant skills and projects; no specific documents are required at the initial stage. ? Is there a probation period and what does it involve? Probation Tap to expand + Answer Yes, there is typically a probation period of 3-6 months, focusing on performance evaluation and integration into the team. ? What is the work culture like at Eaton? Culture Tap to expand + Answer Eaton promotes a culture of collaboration, continuous learning, and diversity, fostering an environment where employees can thrive. 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