🚀 Innovaccer, one of the fastest-growing health tech companies, is inviting applications for the Data Ops Engineer – Apprentice role through its Off Campus Drive 2025. This opportunity is ideal for freshers from the B.E/B.Tech/M.Tech streams who are passionate about data engineering, healthcare analytics, and learning advanced tools like SQL, Python, Power BI, and Tableau. Join Innovaccer to be part of a mission-driven team dedicated to transforming healthcare through data and technology. If you're enthusiastic about managing data workflows, building interfaces, and gaining hands-on experience in real-time health tech projects, this role is made for you!
| Innovaccer | |
| Job Role | Data Ops Engineer -Apprentice |
| Qualification | B.E/B.Tech/M.E/M.Tech |
| Batch | 2019/2020/2021/2022/2023/2024 |
| Experience | Freshers |
| Salary | Best in Industry |
| Location | Noida |
| Last Date | ASAP |
| Apply Link Below | |
|---|---|
✅ Eligibility Criteria
🎓 Bachelor's or Master's degree in Computer Science or related fields
📅 Eligible Batches: 2019 to 2024
🕐 Must be available for minimum 1-year apprenticeship
🔍 Basic understanding of data modeling concepts
💻 Knowledge of SQL and ability to write basic queries
🐍 Eagerness to work with Python libraries (NumPy, SciPy, Scikit-learn)
📊 Interest in BI tools like Power BI, Tableau, Sisense
🧠 Strong problem-solving and analytical abilities
🗣️ Excellent written and verbal communication skills
🌀 Willingness to multitask and manage multiple responsibilities
🧾 Job Description
📊 Collaborate with data services teams to transform and manipulate healthcare data
📈 Assist in building custom analytics reports for US healthcare clients
🔗 Help develop interfaces between Innovaccer’s Data Activation Platform and third-party systems
📚 Follow and help document industry best practices
⚙️ Monitor and optimize interface configurations for high availability
🏗️ Learn and apply data warehousing best practices
🎯 Your Role:
As a Data Ops Engineer - Apprentice, you will play a key role in improving the effectiveness of healthcare data analytics. You’ll gain hands-on experience with real-world health data, work with modern tools, and contribute to reducing healthcare costs while enhancing outcomes. This role is ideal for self-starters excited to kickstart a career in data engineering and healthcare IT.🌟 Why Join Innovaccer?
🌐 Work with a cutting-edge health tech company transforming patient care
📊 Gain expertise in data engineering, Python, BI tools, and SQL
🚀 Get mentored by industry leaders and fast-track your career
🏥 Make a real impact in the healthcare domain through data-driven innovation
🎓 Learn through hands-on projects in a structured apprenticeship environment
🏢 About Innovaccer
Innovaccer is a leading healthcare data platform company revolutionizing how healthcare organizations use data to drive better patient outcomes and operational efficiency. By integrating cutting-edge technologies like AI, data engineering, and BI analytics, Innovaccer enables healthcare professionals to make informed decisions. The Data Ops Engineer Apprenticeship role offers a gateway to the world of health tech innovation, giving freshers an opportunity to grow their careers in a fast-paced and impactful environment.
📚 Additional Sections
✅ SQL & Database Querying
✅ Python Libraries: NumPy, SciPy, Scikit-learn
✅ BI Tools: Power BI, Tableau, Sisense
✅ Interface Development & Monitoring
✅ Healthcare Data Warehousing
🚀 Career Growth Opportunities
🎯 Hands-on training in real-world data engineering tasks
🎓 Exposure to healthcare data standards
📈 Pathway to full-time roles at Innovaccer post apprenticeship
📥 How to Apply?
📌 All interested and eligible candidates can apply online using the official application link below:
| Jobs by Qualification | |
| B.Tech | BBA |
| B.Sc | B.Com |
| M.Sc | M.Com |
| MCA | MBA |
| BCA | M.Tech |
💬 Top 5 Interview Questions & Sample Answers
Q1. What is data modeling and why is it important in data engineering?
A: Data modeling helps organize and structure data efficiently. It ensures consistency, supports analytics, and simplifies data integration processes—crucial for building scalable healthcare platforms.
Q2. Write a basic SQL query to fetch records from a customer table where age > 30.
A: SELECT * FROM customers WHERE age > 30;
Q3. What is the difference between Power BI and Tableau?
A: Both are BI tools used for data visualization. Power BI integrates well with Microsoft products and is cost-effective; Tableau offers more customization and handles larger data sets better.
Q4. How would you handle multiple tasks under tight deadlines?
A: I prioritize tasks based on urgency and impact, use planning tools like Trello or calendars, and break down large tasks into smaller, manageable steps to stay on track.
Q5. What are some key Python libraries used in data engineering and analytics?
A: NumPy for numerical computations, SciPy for scientific functions, and Scikit-learn for machine learning. These help in processing, analyzing, and modeling data efficiently.
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