Medpace is Hiring Junior Data Engineers | Navi Mumbai | Freshers & Interns

Job Description

Medpace is hiring Junior Data Engineers for its Navi Mumbai office. This opportunity is ideal for fresh graduates and candidates with internship experience who are passionate about Data Engineering, SQL, ETL Pipelines, Business Intelligence, Data Warehousing, and Cloud Data Platforms.

As a Junior Data Engineer, you'll work with experienced engineering teams to build data pipelines, develop business intelligence solutions, support cloud-based data warehouses, and create scalable data solutions that help accelerate clinical research and improve healthcare worldwide.

𝐂𝐨𝐦𝐩𝐚𝐧𝐲: Medpace
𝐑𝐨𝐥𝐞: Junior Data Engineer
𝐋𝐨𝐜𝐚𝐭𝐢𝐨𝐧: Navi Mumbai, Maharashtra
𝐉𝐨𝐛 𝐓𝐲𝐩𝐞: Full-Time
𝐃𝐞𝐩𝐚𝐫𝐭𝐦𝐞𝐧𝐭: Software Development

𝐀𝐛𝐨𝐮𝐭 𝐌𝐞𝐝𝐩𝐚𝐜𝐞

Medpace is a leading global Clinical Research Organization (CRO) providing Phase I–IV clinical development services to the biotechnology, pharmaceutical, and medical device industries. Headquartered in Cincinnati, Ohio, the company operates in 40+ countries with over 5,000 employees, helping accelerate the development of safe and effective medical therapies through advanced technology, data, and scientific expertise.

By joining Medpace, you'll contribute to technology solutions that support life-changing healthcare research while building a rewarding career in Data Engineering.

𝐉𝐨𝐛 𝐎𝐯𝐞𝐫𝐯𝐢𝐞𝐰

As a Junior Data Engineer, you'll help design, develop, and maintain enterprise data solutions that support business intelligence and analytics. You'll work with ETL/ELT tools, cloud data warehouses, SQL databases, and Power BI to build reliable data pipelines and reporting systems.

This role offers excellent exposure to modern data engineering technologies and enterprise software development practices.

Roles & Responsibilities

• Develop and maintain ETL and ELT data pipelines.

• Work with cloud data warehouse technologies such as Snowflake.

• Design, develop, and support Business Intelligence solutions using Microsoft Power BI.

• Collect, analyze, and document business and user requirements.

• Participate in software development, testing, validation, deployment, and maintenance.

• Develop and optimize SQL queries for data processing and reporting.

• Support data integration and transformation using Azure Data Factory, SSIS, and dbt.

• Collaborate with engineering teams to build scalable data solutions.

• Provide application support, troubleshooting, and maintenance for end users.

Qualifications & Eligibility

• Bachelor's degree in Computer Science, Data Science, Information Technology, or a related field.

• Internship experience in Data Engineering or Software Engineering is preferred.

• Good understanding of SQL databases and data warehousing concepts.

• Knowledge of ETL pipelines and Business Intelligence tools.

• Strong analytical, communication, and problem-solving skills.

Skills Required

𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠

• ETL / ELT Development

• Data Warehousing

• Business Intelligence

• Data Modeling

• Star Schema & Snowflake Schema

𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞𝐬

• SQL Server

• ANSI SQL

• T-SQL

• Snowflake

𝐁𝐈 & 𝐃𝐚𝐭𝐚 𝐓𝐨𝐨𝐥𝐬

• Microsoft Power BI

• Azure Data Factory

• SSIS

• dbt

• Fivetran (Preferred)

𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐢𝐧𝐠

• SQL

• Python (Preferred)

• REST APIs

• C# (Bonus)

𝐂𝐥𝐨𝐮𝐝 & 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬

• Snowflake Cloud Data Warehouse

• Azure Development (Bonus)

• Data Integration

𝐖𝐡𝐲 𝐉𝐨𝐢𝐧 𝐌𝐞𝐝𝐩𝐚𝐜𝐞?

• Work for a globally recognized Clinical Research Organization.

• Gain hands-on experience with modern Data Engineering technologies.

• Build enterprise-grade ETL pipelines and Business Intelligence solutions.

• Exposure to Snowflake, Azure Data Factory, Power BI, and cloud-based data platforms.

• Structured learning and long-term career growth opportunities.

• Collaborative engineering environment with mentorship from experienced professionals.

• Opportunity to contribute to healthcare technology that impacts millions of lives worldwide.

𝐂𝐚𝐫𝐞𝐞𝐫 𝐆𝐫𝐨𝐰𝐭𝐡 𝐎𝐩𝐩𝐨𝐫𝐭𝐮𝐧𝐢𝐭𝐢𝐞𝐬

This role provides an excellent foundation for a career in Data Engineering and Analytics.

Potential career paths include:

• Data Engineer

• Business Intelligence Developer

• ETL Developer

• Data Warehouse Engineer

• SQL Developer

• Analytics Engineer

• Cloud Data Engineer

• Azure Data Engineer

• Senior Data Engineer

• Data Architect

The experience gained in this role can help you build a long-term career in Data Engineering, Cloud Data Platforms, Business Intelligence, Big Data, and Analytics Engineering.

𝐖𝐡𝐨 𝐒𝐡𝐨𝐮𝐥𝐝 𝐀𝐩𝐩𝐥𝐲?

• Fresh graduates interested in Data Engineering.

• Candidates with internship experience in Data or Software Engineering.

• Students with knowledge of SQL, ETL, or Business Intelligence tools.

• Individuals interested in cloud data platforms and analytics.

• Aspiring data professionals looking to work on enterprise-scale data solutions.