Data Engineer at GE HealthCare

GE HealthCare · Bengaluru, Karnataka

📋 Job Details at a Glance 📍 Location Bengaluru, Karnataka 🏢 Company GE HealthCare 👥 Experience 0-2 years 🎓 Qualification Any Graduate 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary Not Disclosed 🏢 Industry Technology 🛠 Key Skills Java Python NodeJS SQL Hadoop Spark Hive Cassandra HBase AWS Data Engineer at GE HealthCare — Full Details & How to Apply GE HealthCare is seeking a passionate Data Engineer in Bengaluru, Karnataka to drive data solutions that enhance healthcare technology. This role offers a unique opportunity to contribute to meaningful projects in a leading global company. In today's rapidly evolving healthcare landscape, the role of a Data Engineer is more critical than ever. As healthcare systems increasingly rely on data-driven insights to improve patient outcomes and operational efficiency, the demand for skilled professionals in Data Engineer jobs continues to rise. By effectively managing and analyzing vast amounts of data, you will play a pivotal role in shaping the future of healthcare technology, making this position not just a job, but a chance to impact lives significantly. GE HealthCare stands out as an employer due to its unwavering commitment to innovation and excellence. With a focus on cutting-edge technology, the company fosters a collaborative environment that encourages growth and development. Employees are equipped with the latest tools and resources, enabling them to tackle complex challenges and contribute to groundbreaking projects. This commitment to employee development ensures that as a Data Engineer , you will be at the forefront of technological advancements in healthcare. This role is ideal for both freshers and candidates with up to 2 years of experience who are eager to kickstart their careers in a meaningful industry. Candidates must hold a B.Tech, B.E., MCA, or M.Tech degree, and be part of the 2023, 2024, 2025, and 2026 graduating classes. A minimum of 60% aggregate in academics is preferred, and prior internship or hands-on project experience will be a strong advantage. If you are passionate about data and technology, this is your chance to join a leader in healthcare innovation. As a Data Engineer at GE HealthCare , you will gain invaluable skills that are essential in today’s tech landscape. You will learn about cloud architecture , engage in production-grade Java development , and navigate Agile workflows . This role will not only enhance your technical expertise but also provide you with the experience necessary to make informed decisions that impact healthcare delivery. NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. If you are ready to take the next step in your career, apply online today and join GE HealthCare in transforming healthcare through data. Job Role & Responsibilities As a Data Engineer at GE HealthCare , you will play a crucial role in transforming healthcare data into actionable insights. This position is integral to supporting healthcare analytics and reporting needs, ensuring that data is accessible and reliable for decision-making. Design and implement robust data pipelines that facilitate healthcare analytics and reporting, ensuring data flows seamlessly across systems. Utilize Hadoop , Spark , and SQL to process and analyze large datasets effectively, enhancing the quality of healthcare insights. Collaborate with data scientists and software engineers to ensure data integrity and accessibility, fostering a culture of teamwork and innovation. Monitor and optimize data workflows , focusing on performance metrics and implementing improvements to enhance data quality. Take ownership of specific data projects , driving initiatives from conception through execution and evaluation, ensuring timely delivery. Document data processes and workflows to ensure transparency and facilitate knowledge sharing within the team. Innovate solutions to complex data challenges, leveraging emerging technologies and best practices in data engineering . Participate in regular team meetings to discuss project progress, challenges, and opportunities for improvement, contributing to a collaborative work environment. At GE HealthCare , we foster an ownership culture where each Data Engineer is empowered to make impactful decisions, driving initiatives that significantly enhance healthcare outcomes. Required Skills & Technical Competencies The ideal candidate for the Data Engineer position at GE HealthCare will possess a diverse skill set that combines technical expertise with analytical capabilities. This role demands proficiency in various programming languages and tools to effectively manage and analyze healthcare data. Technical Skills Java (Intermediate) — essential for developing data processing applications tailored to healthcare needs. Python (Advanced) — utilized for scripting and automating data workflows, enhancing efficiency. SQL (Proficient) — critical for managing relational databases and executing complex queries on healthcare data. Hadoop (Intermediate) — enables efficient handling of big data, crucial for healthcare analytics. Spark (Intermediate) — used for processing large datasets at scale, improving data analysis speed. AWS (Familiar) — advantageous for implementing cloud-based data solutions, particularly with services like S3 and Lambda . Cassandra (Familiar) — beneficial for managing large volumes of healthcare data across distributed systems. Informatica (Basic) — useful for data integration and ETL processes, enhancing data accessibility. Soft Skills & Professional Competencies Analytical thinking — ability to dissect complex data problems and derive actionable insights. Effective communication skills — essential for collaborating with cross-functional teams and presenting findings. Time management — crucial for balancing multiple projects and meeting deadlines in a fast-paced environment. Attention to detail — ensures high data quality and integrity in all engineering processes. Good to Have (Bonus) Talend — experience with this data integration tool can enhance data processing capabilities. Oracle — familiarity with this database management system is a plus for handling healthcare data. PostgreSQL — knowledge of this relational database can be advantageous for specific data projects. To effectively showcase these skills in your resume or interview for the Data Engineer role at GE HealthCare , highlight relevant coursework, projects, and any hands-on experience with the listed technologies and tools. Eligibility Criteria This role is designed for recent graduates who are eager to start their careers in data engineering within the healthcare sector. Ideal candidates will have a foundational understanding of data principles and a passion for leveraging data to improve healthcare outcomes. Candidates must hold a degree in any field , with a preference for those with a background in computer science or engineering . Eligible batches include 2023, 2024, 2025, and 2026 passouts, targeting fresh graduates. A minimum CGPA of 7.0 is preferred, reflecting a solid academic foundation in relevant subjects. No prior experience is required, making this role ideal for both freshers and candidates with up to 2 years of experience . Projects or internships showcasing data engineering skills , such as GitHub repositories, can enhance your application. Strong analytical and problem-solving skills are essential for navigating the complexities of healthcare data. Documentation & Portfolio Requirements Prepare a comprehensive resume that highlights your academic achievements, relevant projects, and any internships. Include links to your GitHub or portfolio showcasing your data engineering skills, as well as any relevant certifications. Pro Tip: Tailor your application by emphasizing your hands-on experience with data tools and any relevant coursework to improve your success rate for the Data Engineer role at GE HealthCare . Salary & Benefits 💰 Compensation Not Disclosed The compensation philosophy at GE HealthCare emphasizes offering a competitive salary that aligns with industry standards for the Data Engineer role. While specific salary details are not disclosed , the company is committed to providing a comprehensive compensation package that supports employee well-being and professional growth. What Your CTC Could Include Health Insurance — comprehensive coverage for employee and family worth ₹5 lakh annually Learning and Development Programs — access to various training sessions and workshops Flexible Work Hours — options for hybrid work to promote work-life balance Performance-Based Bonuses — additional compensation based on individual and company performance Retirement Benefits — contributions towards provident fund and pension schemes Additional Perks & Benefits Meal Allowances — daily allowances to support healthy eating Transportation Support — assistance with commuting costs Wellness Programs — initiatives promoting physical and mental health Employee Discounts — special rates on various products and services Mentorship Opportunities — pairing with experienced professionals for guidance Career Progression & Salary Growth At GE HealthCare , appraisal cycles typically occur annually, with raises averaging between 5% to 10% based on performance. The company emphasizes rapid career advancement through regular performance reviews and a clear internal promotion policy, allowing employees to explore various pathways within the organization. NexisGrow.com tip: When discussing salary, emphasize your unique skills and experiences that align with the Data Engineer role to negotiate effectively. Selection Process The hiring philosophy at GE HealthCare focuses on identifying candidates who not only possess the necessary technical skills but also align with the company’s culture and values. The selection process is designed to ensure a thorough evaluation of each candidate's fit for the Data Engineer position. 1 Round 1: Initial Screening Interview — a discussion focusing on your resume and relevant skills, typically conducted by HR. 2 Round 2: Technical Interview — an assessment of your knowledge of data engineering concepts and practical skills. 3 Round 3: Final Interview — a meeting with team leads or managers to evaluate cultural fit and discuss potential projects. 4 Final Stage: Background Checks — verification of your credentials and offer discussions to ensure a smooth transition into the company. What Each Round Tests Round 1 primarily assesses your communication skills and relevant experience. Round 2 dives deep into your technical expertise, focusing on data engineering tools and methodologies. Round 3 evaluates your problem-solving abilities and how well you align with the team’s culture. Timeline & Expectations The entire selection process typically takes 4-6 weeks from application submission to 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 challenges and be ready to discuss your previous projects in detail. How to Apply for Data Engineer at GE HealthCare Apply Now — GE HealthCare Step 1: Click the Apply button or visit the official career link to access the application portal. Step 2: Fill in your profile and upload your resume, highlighting relevant skills and projects that align with the Data Engineer job description. Step 3: Expect a confirmation email detailing the next steps in the screening process, including potential timelines. Step 4: Prepare for interviews by reviewing common data engineering concepts and your past experiences. Step 5: Track your application status through the portal for updates. Resume & Profile Tips for This Role Highlight your experience with Python and SQL in your resume. Showcase any hands-on project experience with data pipelines and ETL processes. Include relevant certifications or courses related to data engineering . Emphasize your problem-solving skills and ability to work in Agile environments. Note: Applications are reviewed on a rolling basis, so applying early can enhance 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 Engineer role at GE HealthCare? Eligibility Tap to expand + Answer Candidates must hold any graduate degree, preferably in computer science or engineering, and belong to the 2023-2026 batches. Freshers are welcome to apply. ? What is the interview process for Data Engineer at GE HealthCare? Interview Tap to expand + Answer The interview process includes an initial screening, a technical interview focusing on data engineering skills, and a final interview with team leads to assess fit. ? What technologies and tools will I work with? Tech Stack Tap to expand + Answer You will primarily work with Java, Python, SQL, Hadoop, Spark, and AWS services, focusing on building and optimizing data pipelines. ? What is the salary and compensation for this role? Salary Tap to expand + Answer While salary details are not disclosed, GE HealthCare offers competitive compensation and performance bonuses aligned with industry standards. ? Is this role work from home, hybrid, or onsite? Work Mode Tap to expand + Answer This role is primarily onsite in Bengaluru, with potential flexibility for hybrid work arrangements based on project needs. ? What is the career growth path after joining GE HealthCare as a Data Engineer? Growth Tap to expand + Answer Within 6-12 months, you can expect to take on more complex projects, with opportunities for promotions and role expansions in 2-3 years. ? How should I prepare for the Data Engineer interview at GE HealthCare? Preparation Tap to expand + Answer Focus on brushing up your skills in Java, Python, and SQL, and be prepared to discuss your projects and problem-solving approaches. ? How do I apply and what documents are needed? Application Tap to expand + Answer Visit the official career link to apply, and ensure your resume highlights relevant skills and projects related to data engineering. ? Is there a probation period and what does it involve? Probation Tap to expand + Answer Yes, there is typically a 3-6 month probation period, during which performance will be evaluated to ensure a good fit. ? What is the work culture like at GE HealthCare? Culture Tap to expand + Answer The work culture emphasizes collaboration, diversity, and continuous learning, creating an environment where employees can thrive and innovate. 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