Job Description

We are a technology-led healthcare solutions provider. We are driven by our purpose to enable healthcare organizations to be future-ready. We offer accelerated, global growth opportunities for talent that’s bold, industrious, and nimble. With Indegene, you gain a unique career experience that celebrates entrepreneurship and is guided by passion, innovation, collaboration, and empathy. To explore exciting opportunities at the convergence of healthcare and technology, check out www.careers.indegene.com Looking to jump-start your career? We understand how important the first few years of your career are, which create the foundation of your entire professional journey. At Indegene, we promise you a differentiated career experience. You will not only work at the exciting intersection of healthcare and technology but also will be mentored by some of the most brilliant minds in the industry. We are offering a global fast-track career where you can grow along with Indegene’s high-speed growth. We are purpose-driven.  We enable healthcare organizations to be future ready and our customer obsession is our driving force. We ensure that our customers achieve what they truly want. We are bold in our actions, nimble in our decision-making, and industrious in the way we work.

Must Have

Role: Senior Data Engineer

 

Job Description: 

We are looking for a Senior Data Engineer to design, build, and optimize our next-generation data architecture. In this role, you will be responsible for the end-to-end orchestration of data, from complex API and batch ingestions to the development of real-time streaming pipelines. You will serve as a technical leader, ensuring that our data warehouse, whether in Snowflake, BigQuery, or Redshift, is modeled for high performance and analytics enablement
 

Roles & Responsibilities
1. Data Architecture & Pipeline Engineering
End-to-End Orchestration: Design, develop, and maintain scalable ETL/ELT pipelines to ingest data from diverse sources, including complex APIs, microservices, and batch systems.
Stream Processing: Build and optimize real-time streaming data pipelines to support immediate business insights and low-latency analytics.
Infrastructure Optimization: Leverage cloud data warehousing (Snowflake, BigQuery, or Redshift) to build a high-performance "next-generation" data architecture.
2. Data Modeling & Warehouse Management
Schema Design: Architect and implement robust data models using Star and Snowflake schemas to ensure high performance and ease of use for analytics teams.
Performance Tuning: Monitor and optimize query performance, indexing, and partitioning strategies within the cloud data warehouse to manage costs and speed.
Warehouse Administration: Act as the subject matter expert for the data warehouse environment, ensuring appropriate storage and compute scaling.
3. Technical Leadership & Quality Assurance
Standardization: Establish and enforce best practices for data engineering, including version control, documentation, and coding standards in Python and SQL.
Data Integrity: Implement rigorous unit and integration testing for all data assets to ensure accuracy, reliability, and "production-grade" quality.
CI/CD Integration: Work closely with DevOps teams to integrate data pipelines into automated deployment cycles for seamless delivery.
4. Security, Privacy & Compliance
Data Governance: Design and implement data privacy and anonymization protocols to ensure sensitive information is handled according to enterprise security standards.
Access Management: Collaborate with security teams to enforce role-based access to data assets, ensuring audit readiness and compliance with global data regulations.
5. Cross-Functional Collaboration
Stakeholder Alignment: Partner with Data Scientists, Analysts, and Product Managers to translate complex business requirements into technical data specifications.
Analytics Enablement: Ensure data is structured and accessible for advanced analytics, automated reporting, and data-driven decision-making across the organization.

Key Skills: ETL/ELT Pipeline Development, Advanced SQL & Python, Cloud Data Warehousing (Snowflake/BigQuery/Redshift), Data Modeling (Star/Snowflake Schema), Stream Processing, API Integration, and Data Privacy/Anonymization.
Qualification: Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Engineering, or a related quantitative field. Certifications in Cloud Platforms (Azure/GCP/AWS) or Data Tools (Snowflake/dbt) are highly desirable
Experience: 4+ years of experience in data engineering and architecture, with a proven track record of building scalable production-grade data pipelines.

Good to have

EQUAL OPPORTUNITY

Indegene is proud to be an Equal Employment Employer and is committed to the culture of Inclusion and Diversity. We do not discriminate on the basis of race, religion, sex, colour, age, national origin, pregnancy, sexual orientation, physical ability, or any other characteristics. All employment decisions, from hiring to separation, will be based on business requirements, the candidate’s merit and qualification. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, gender identity, sexual orientation, disability status, protected veteran status, or any other characteristics.