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Definitive Healthcare
Engineering💼 FullTime

Data Engineer at Definitive Healthcare

Definitive Healthcare
•2 months ago
Location

Bengaluru, Karnataka, India

Salary

₹8-15 LPA

Apply By

ASAP

Views

75

Eligible Batches

🎓 2+Y Batch🎓 2025 Batch🎓 2026 Batch

Job Description

Join Definitive Healthcare as a Data Engineer to build scalable data pipelines and optimize data workflows. This is a great opportunity to develop high-quality data systems and contribute to the growth of the organization.

Roles & Responsibilities

Build scalable data pipelines Optimize data workflows

Nice to Have

Experience with cloud data warehouses and Amazon S3. Knowledge of data governance and data quality best practices. Certification in data engineering or related fields.

Eligibility Criteria

B.Tech/B.E. 2025/2026 Batch

Tech Stack & Ecosystem

PythonJavaApache BeamApache NiFiData EngineeringData ScienceCloud Computing

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Quick Info

TypeFullTime
RoleData Engineer
Work Mode🏢 On-site
Eligible Batches
2+Y20252026

Tech Stack

PythonJavaApache BeamApache NiFiData EngineeringData ScienceCloud Computing

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Career Advice

Company Insights

Working as a Data Engineer at Definitive Healthcare offers a unique opportunity to contribute to the growth and success of the organization. By building scalable data pipelines and optimizing data workflows, you will play a critical role in enhancing the company's data-driven decision-making capabilities. Definitive Healthcare's commitment to innovation and data excellence creates a dynamic and challenging environment that fosters personal and professional growth. As a Data Engineer, you will have the opportunity to collaborate with cross-functional teams, develop high-quality data systems, and contribute to the organization's mission to deliver exceptional healthcare intelligence solutions.

Interview Guide

To best prepare for an interview as a Data Engineer at Definitive Healthcare, focus on showcasing your technical skills in data engineering, cloud computing, and data science. Study the company's current projects and initiatives to understand their data-driven strategies. Develop a portfolio of your work, including successful data pipeline design and implementation projects. Be prepared to answer behavioral questions that demonstrate your problem-solving skills, attention to detail, and ability to work collaboratively in a team. Additionally, review the company's technology stack and be ready to discuss your experience with specific tools and technologies mentioned in the job description.