Lead Data Engineer

Indegene Inc.; India; On-site; INR 3,000,000 - 5,400,000; Full time

Benefits offered by this job

Global exposure

Learning & development programs

Leadership mentoring initiatives

Flexible and collaborative work环境

Job summary

Indegene Inc., a technology-led healthcare solutions provider, is seeking a Lead Data Engineer to design and build scalable data platforms across cloud ecosystems. You will lead data architecture, ingestion pipelines, and data governance in a global, agile environment.

The role requires 8–12+ years in Data Engineering, strong Python/SQL, and experience with Snowflake, BigQuery, and Databricks. Collaboration with data science and business teams is essential.

Qualifications

• Experience designing enterprise-scale data architectures.
• Experience in cloud-native data ecosystems.
• Proven record leading data engineering teams or large implementations.
• Strong analytical and problem-solving mindset.
• Experience working in Agile environments.
• Healthcare/Life Sciences data domain exposure is a plus.

Responsibilities

• Design, develop, and maintain scalable data pipelines and data platforms.
• Lead architecture and implementation across cloud ecosystems.
• Build batch and real-time data ingestion frameworks.
• Design data models to support analytics and reporting.
• Drive data integration across healthcare and commercial sources.
• Ensure data quality, governance, security, and compliance.
• Collaborate with data scientists, analysts, product owners, and stakeholders.
• Mentor junior data engineers and promote engineering best practices.
• Support analytics, AI/ML, and enterprise reporting initiatives.
• Participate in Agile sprint planning and roadmaps.

Skills

Data architecture

Python

SQL

Spark

Airflow

Data modeling

Cloud platforms

Leadership

Stakeholder management

Agile / DataOps

Tools

Snowflake

BigQuery

Redshift

Synapse

Databricks

CI/CD

Docker

Kubernetes

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.

Role: Lead Data Engineer

Job Description:

You will be responsible for:

• Design, develop, and maintain scalable data pipelines and enterprise data platforms
• Lead architecture and implementation of modern data engineering solutions across cloud ecosystems
• Build and optimize batch and real-time data ingestion frameworks
• Design data models supporting analytics, reporting, and advanced analytics use cases
• Drive data integration across multiple enterprise systems including healthcare and commercial data sources
• Ensure data quality, governance, security, and compliance standards are implemented
• Collaborate with Data Scientists, Analysts, Product Owners, and Business stakeholders to translate business requirements into scalable data solutions
• Lead migration and modernization initiatives from legacy data platforms to cloud-based architectures
• Optimize data processing performance and cost efficiency
• Implement CI/CD practices and DataOps frameworks for data engineering workflows
• Mentor and guide junior data engineers and establish engineering best practices
• Support enterprise analytics, AI/ML, and reporting initiatives
• Work within Agile delivery models and contribute to sprint planning and technical roadmap discussions

Must Have

Management Skills

• Strong leadership and team mentoring capabilities
• Excellent written and verbal communication skills
• Ability to work with cross-functional global teams
• Strong stakeholder management and solutioning mindset
• Ability to drive technical decisions and architectural governance
• Staying abreast of emerging technologies in cloud data engineering and analytics platforms

Your Impact

• Enable scalable and future-ready enterprise data platforms
• Improve data accessibility and reliability for analytics and business decision-making
• Accelerate digital transformation initiatives across healthcare and life sciences clients
• Establish engineering standards and best practices across data teams

About You: (Desired Profile)

• Strong experience designing enterprise-scale data architectures
• Experience working in cloud-native data ecosystems
• Proven experience leading data engineering teams or large-scale implementations
• Strong analytical and problem-solving mindset
• Experience working in Agile environments
• Understanding of healthcare or life sciences data ecosystem is a plus

Must Have: (Requirements)

• 8–12+ years of experience in Data Engineering
• Strong expertise in Python / SQL / Spark
• Hands-on experience with Cloud Platforms (AWS / Azure / GCP)
• Experience with Data Warehousing solutions (Snowflake, BigQuery, Redshift, Synapse)
• Experience building ETL / ELT pipelines
• Distributed data processing frameworks (Apache Spark, Databricks)
• Data orchestration tools (Airflow, ADF, or similar)
• Strong understanding of data modeling concepts
• Experience with large-scale structured and unstructured datasets
• Version control and CI/CD practices

Good to have

• Experience with Databricks Lakehouse architecture
• Streaming technologies (Kafka, Kinesis, Pub/Sub)
• Exposure to Healthcare / Life Sciences data domains
• Experience supporting AI/ML pipelines
• Containerization (Docker, Kubernetes)

• Global exposure and career growth opportunities
• Learning & development programs
• Leadership mentoring initiatives
• Flexible and collaborative work environment

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.