Senior Data Engineer
Medpace Clinical Research India
Navi Mumbai, Maharashtra, India · Full Time
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- Experience
- 5+ yrs
- Salary
- —
- Openings
- 1
- Posted
- 3 weeks ago
- Work mode
- In office
- Education
- Any graduate
- Eligibility
- Any Graduate can apply for this position.
- Resume
- Required to apply
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Job description
About Medpace
Medpace Clinical Research India is part of a global full-service clinical contract research organization dedicated to advancing medical therapeutics development. Their expertise spans multiple therapeutic areas like oncology, cardiology, metabolic diseases, endocrinology, central nervous system conditions, antivirals, and anti-infectives. With over 6,500 employees worldwide, their mission is to speed up safe and effective medical treatment approval by applying regulatory and scientific knowledge.
Role Overview
We are expanding our Information Technology team in Navi Mumbai by recruiting a full-time Data Engineer. This role focuses on developing and supporting data engineering and business intelligence projects that contribute significantly to our organizational success. The position is office-based and offers a stimulating environment for career growth using existing skills and opportunities to learn.
Key Responsibilities
- Develop and manage data warehousing solutions and business intelligence systems using technologies such as Snowflake, ANSI SQL, SQL Server, and T-SQL.
- Employ Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) tools including dbt, Azure Data Factory, and SSIS for software design and programming.
- Design, enhance, and maintain Microsoft Power BI dashboards and reporting tools.
- Gather, analyze, and document business and user requirements accurately.
- Contribute to software validation by creating and executing test plans, cases, and scripts.
- Follow the complete software development lifecycle including requirements, design, development, testing, release, and maintenance phases.
- Maintain clear communication with colleagues about projects, tools, methodologies, and updates.
- Offer end-user support services such as application setup, installation, and ongoing maintenance.
Required Qualifications and Skills
- Bachelor’s degree in Computer Science, Data Science, or a related discipline.
- At least 5 years’ experience in data engineering roles.
- Proficiency in dimensional data modeling, understanding star and snowflake schema advantages and constraints.
- Strong ETL development and reporting skills built on a solid grasp of business processes and metrics.
- Hands-on knowledge of Snowflake cloud data warehouse, Fivetran data integration, and dbt transformations is advantageous.
- Python programming skills are preferred.
- Familiarity with REST API development and usage.
- Basic competency in SQL Server database management.
- Experience with C# and Azure development is beneficial.
- Excellent analytical abilities and strong verbal and written communication skills.
Culture and Benefits
- Collaborate with physicians, scientists, and leading experts dedicated to clinical research excellence.
- An interactive, open, and trusting team atmosphere encouraging decision making and innovation.
- Accessible leadership supportive of growth.
- Structured career paths with clear promotion opportunities.
- Comprehensive onboarding and continuous training programs to foster professional development.
- An office-based work setting with occasional work-from-home flexibility for trained employees.
- Competitive salary schemes aligned with performance.
- Inclusive health, wellness, retirement, and paid time off benefits.
- Engaging social events sponsored by the company.
Level
Senior
Minimum education
Bachelor's Degree