ANSR is hiring for one of its clients.

About ANSR MedTech

Who We Are

ANSR MedTech Capability Center is a new global innovation hub being established in India for a Fortune 100 Fastest-Growing Company in the MedTech sector. Built in partnership with ANSR, the center draws on ANSR’s proven experience in establishing and scaling high-performance Global Capability Centers (GCCs) for leading global enterprises.

ANSR MedTech center brings together world-class engineering, product, and technology talent to build next-generation healthcare platforms and solutions that power global operations. Our Vision:

To build a next-generation MedTech capability center that powers global healthcare innovation.

We envision: High-impact innovation hubs shaping global product and technology roadmaps Centers that go beyond support functions to drive core engineering and platform development Sustainable, scalable ecosystems that nurture world-class MedTech talent Capability centers that directly influence patient outcomes worldwide At its core, the ANSR MedTech Capability Center is about enabling innovation that touches lives at scale.

Job Title: Principal Data Engineer

Location: Bengaluru, India About the Role:

As a Principal Data Engineer, you’ll work directly with the Data Engineering Leads and cross-functional teams on exciting, high-impact projects that shape the future of our products and data platform. You’ll be a key contributor organizing and helping the team with managing the backlog of work items building in collaboration with technical leads and stakeholders for our Databricks-based data infrastructure, ensuring it meets the rigorous standards of the medical device industry. This is a unique opportunity to blend technical expertise with product ownership, helping to drive innovation.

We offer a dynamic and collaborative work environment, where your attention to detail and passion for quality will directly influence product development, clinical insights, and operational efficiency. If you're looking for a role where your work truly matters—and where you’ll grow alongside a team of talented engineers and healthcare professionals—this is the place for you. Building scalable data platforms and AI capabilities

Engineering high-quality, production-ready data solutions





Establishing standards, reliability, and long-term sustainability

Growth defines what insights matter and how they are used

CTO enables how those insights are delivered at scale

Teams operate as one connected analytics organization, with transparent ownership and shared outcomes Responsibilities:

Design, develop, and maintain scalable, resilient data architectures and pipelines for commercial data domains. Contribute to the design, implementation, and evolution of ANSR MedTech’s enterprise data lake and warehouse architecture, leveraging Databricks and cloud-native services. Lead and participate in technical design discussions with engineers and stakeholders to align on architecture, standards, and implementation approach.

Apply software /data engineering best practices—modular design, version control, testing, code reviews, and CI/CD—to data pipelines and platforms. Build and manage workflow orchestration for batch and event-driven pipelines using modern orchestration frameworks. Develop pipelines with automation-first principles, minimizing manual intervention and operational toil.

Implement robust monitoring, alerting, retry, and failure-handling mechanisms to ensure production reliability. Perform proactive data quality checks, data validation, and remediation as part of automated pipelines. Collaborate with Analytics and Data Science teams to enable predictive, advanced, and AI-driven commercial analytics use cases.

Develop and maintain data preprocessing and transformation frameworks reusable across analytical and AI workloads Partner with Cloud, IT, and Platform teams to optimize performance, scalability, cost, and security. Cross-Functional & Global Collaboration:

Work closely with U.S.-based data engineers, architects, and technical leads to align on:



Architecture and design patterns Engineering standards and best practices Platform and operational consistency across regions Collaborate with cross-functional stakeholders across Commercial, Finance, IT, SAP, Quality, and Analytics teams to deliver end-to-end data solutions. Actively participate in global delivery and follow-the-sun collaboration models, ensuring smooth handoffs and shared ownership.

Preferred

Qualifications

Experience supporting Commercial, Finance, or Order-to-Cash data domains. Exposure to AI/ML enablement, feature pipelines, or advanced analytics use cases. Familiarity with data governance, metadata management, or quality frameworks.

Experience in regulated or highly governed data environments Required Qualifications:

Bachelor's or Master’s degree in Engineering, Computer Science, or a related field, or equivalent practical experience. 10- 12 years of experience as a Data Engineer or ETL/ELT Platform Engineer in enterprise environments. Strong experience designing and building production-grade data pipelines using Databricks and Spark. Hands-on experience with ETL / ELT frameworks and cloud-based data platforms (e.g., Databricks, Azure Data Factory, cloud-native services).

Strong background in data modeling, integration patterns, and enterprise data architecture.

Experience working with SAP data sources, including SAP BI and SAP data modeling. Proficiency in Python and SQL, with a strong software engineering mindset.

Experience with Data Governance tools such as Atlan, Alation, Collibra is a plus.

HIPAA experience a plus Skills/Competencies: Experience with workflow orchestration and managing complex data pipelines. Strong understanding of DataOps and DevOps principles, including CI/CD, automation, and observability. Ability to think end-to-end—from ingestion through consumption, operations, and support.

Strong analytical and problem-solving skills, with high attention to detail and data quality. Ability to adapt to changing priorities and work effectively in ambiguous and evolving environments. Strong communication skills, with the ability to explain technical concepts to non-technical stakeholders.

Proven ability to collaborate effectively with globally distributed teams, including U.S.-based counterparts.

📌 Principal Data Engineer-28235] (Bengaluru)
🏢 ANSR
📍 Bengaluru