📌 Job Overview
🏢 Company: Medpace
💼 Position: Data Engineer / Business Intelligence Developer (Fresher Opportunity)
🆔 Job ID: 11932
📍 Location: Navi Mumbai, India
🏢 Work Mode: On-site
👨💻 Experience: Freshers (0 Years)
🎓 Qualification: Bachelor’s Degree in Computer Science, Data Science, IT, or Related Field
💰 Expected Salary: ₹7–10 LPA (Estimated)
🛠 Primary Skills: SQL, Python, ETL, Power BI, REST API, Data Warehousing
⚡ Preferred Candidates: Fresh graduates with internship experience in Data Engineering, Business Intelligence, ETL, or Software Development.
🚀 Medpace Fresher Recruitment 2026 – Launch Your Career in Data Engineering & Business Intelligence
Looking for a high-paying fresher opportunity in Data Engineering? Medpace has opened applications for graduates who are passionate about SQL, Python, ETL, Power BI, and modern data platforms. This role offers an excellent opportunity to work with enterprise-scale data warehouses, business intelligence solutions, cloud technologies, and software development processes.
If you’re a Computer Science or Data Science graduate aiming to build a career in Data Engineering, Analytics, or Business Intelligence, this could be one of the best opportunities available.
🏢 About Medpace
Medpace is a global Clinical Research Organization (CRO) that provides clinical development services to pharmaceutical, biotechnology, and medical device companies. Headquartered in the United States, Medpace operates across more than 40 countries and supports clinical trials from Phase I through Phase IV.
The company is known for investing heavily in technology, data platforms, analytics, and business intelligence solutions that help improve healthcare research worldwide. Employees benefit from structured training, global exposure, career growth opportunities, and the chance to work on innovative data-driven solutions.
🌟 Why This Role is Good for Freshers
This opportunity is ideal for graduates who want to enter the Data Engineering and Business Intelligence domain instead of traditional software development.
Some major advantages include:
✅ Opportunity to work on real-world enterprise data projects.
✅ Hands-on exposure to ETL and ELT development.
✅ Learn modern cloud data warehousing technologies like Snowflake.
✅ Work with Microsoft Power BI for enterprise reporting.
✅ Gain experience in SQL, Python, REST APIs, and Azure technologies.
✅ Strong learning environment with experienced mentors.
✅ Excellent long-term career path into Data Engineering, Analytics Engineering, Cloud Data Platforms, or Business Intelligence.
💼 Key Responsibilities
As a Data Engineer / BI Developer, you’ll work on several exciting technologies including:
- Develop and maintain ETL and ELT data pipelines.
- Work with Snowflake Cloud Data Warehouse.
- Design and support Business Intelligence solutions using Microsoft Power BI.
- Collect and analyze business requirements.
- Build reports and dashboards for business users.
- Participate in software development and testing activities.
- Develop software following SDLC best practices.
- Support application maintenance and troubleshooting.
- Work closely with cross-functional teams to deliver data-driven solutions.
🛠 Skills Required
Mandatory Skills
- ✅ SQL
- ✅ Python
- ✅ ETL / ELT Concepts
- ✅ REST APIs
- ✅ Data Warehousing
- ✅ Power BI
- ✅ Software Development Life Cycle (SDLC)
- ✅ Analytical Thinking
- ✅ Problem Solving
- ✅ Communication Skills
Preferred Skills
- Snowflake
- dbt
- Azure Data Factory
- SQL Server
- T-SQL
- SSIS
- Fivetran
- C#
- Azure Development
- Star Schema
- Snowflake Schema
💰 Expected Salary Range
Although Medpace hasn’t officially disclosed the salary, based on Glassdoor reports and industry trends:
- 💼 Freshers: ₹7–10 LPA
Additional employee benefits may include:
- Performance Bonus
- Health Insurance
- Learning & Development Programs
- Global Career Opportunities
- Paid Leave
- Professional Training
- Internal Growth Opportunities
🎯 Expected Interview Rounds
Candidates can generally expect the following hiring process:
Round 1: Resume Shortlisting
Round 2: Online Assessment
Topics may include:
- SQL
- Python
- Aptitude
- Logical Reasoning
- Basic Programming
Round 3: Technical Interview
Questions may cover:
- SQL Queries
- ETL Concepts
- Python Basics
- REST APIs
- Data Warehousing
- Power BI
- Database Concepts
Round 4: Managerial Interview
- Problem Solving
- Communication
- Internship Experience
- Project Discussion
Round 5: HR Discussion
- Salary
- Joining
- Documentation
Interview rounds may vary depending on hiring requirements.
📚 Preparation Tips
To improve your chances of selection:
- Revise SQL Joins, Window Functions, CTEs, and Aggregations.
- Practice Python basics, file handling, functions, and data manipulation.
- Learn ETL and ELT workflows.
- Understand Star Schema vs Snowflake Schema.
- Explore Microsoft Power BI basics.
- Learn REST API fundamentals.
- Practice basic database normalization concepts.
- Revise Software Development Life Cycle (SDLC).
- Work on one Data Engineering or Analytics project to showcase practical experience.
- Prepare internship and academic project explanations.
📄 Resume Tips
To make your resume ATS-friendly:
- Keep it within one page.
- Highlight SQL, Python, ETL, Power BI, and Data Warehousing skills.
- Mention internships, certifications, and academic projects.
- Add GitHub or portfolio links if available.
- Include achievements with measurable outcomes.
- Mention cloud or database certifications if completed.
- Use simple formatting without graphics or tables for better ATS compatibility.
📩 How to Apply
👉 Application Link: Click Here
1️⃣ Visit the official Medpace Careers Portal: Click Here
2️⃣ Search using Job ID: 11932.
3️⃣ Open the Data Engineer / Business Intelligence Developer opportunity.
4️⃣ Complete the online application form.
5️⃣ Upload your updated ATS-friendly resume.
6️⃣ Submit your application before the position closes.
🎯 Final Thoughts
For fresh graduates looking to build a career in Data Engineering, Business Intelligence, SQL Development, Cloud Data Warehousing, or Analytics, this Medpace opportunity offers an excellent starting point. With exposure to Snowflake, Power BI, Python, ETL, REST APIs, and enterprise software development, you’ll gain valuable experience that can significantly boost your career in the data domain. If you meet the eligibility criteria, apply as early as possible to maximize your chances of getting shortlisted. 🚀
