Title:  Senior Data Engineer

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

 Senior Data Engineer

Job Summary: We are looking for an experienced Senior Data Engineer to lead the design and optimization of our data infrastructure. This role requires strong expertise in AWS cloud architecture, scalable pipeline development, data modeling, and orchestration. The candidate will also mentor junior engineers and work closely with analytics and campaign teams to ensure data quality and actionable insights.

Title / Designation: Senior Data Engineer

The Job entails the following but not limited to:
•    Architect, design, and optimize data platforms leveraging AWS services (S3, Redshift, Glue, Lambda).
•    Build, scale, and maintain robust ETL/ELT pipelines for large-scale data ingestion and transformation.
•    Design and implement data models to support analytics and reporting use cases.
•    Develop and optimize advanced Python scripts and SQL queries for data processing.
•    Implement workflow orchestration using Airflow or AWS Step Functions.
•    Lead API integrations with internal and external platforms to enable seamless data exchange.
•    Define and enforce data quality checks, validation rules, and monitoring processes.
•    Collaborate with analysts, data scientists, and campaign managers to ensure high-quality datasets for analytics.
•    Mentor junior engineers, provide technical guidance, and promote best practices in data engineering.
•    Contribute to campaign analytics initiatives by ensuring accurate and timely data availability.
•    Drive documentation standards by ensuring all pipelines, integrations, and processes are well-documented for maintainability and knowledge sharing.
Job Specification:
•    Education/Background:
•    Bachelor’s/master’s degree in computer science, Information Technology, Data Engineering or related field.
•    3-5 years of proven experience in data engineering.
•    Prior experience in mentoring or leading junior engineers is highly desirable.
•    Exposure to campaign analytics/CRM data is a strong plus.

Who are we looking for?

We are looking for people who have/can:
•    Strong expertise in AWS architecture & optimization (S3, Redshift, Glue, Lambda).
•    Advanced proficiency in Python (automation, ETL frameworks) and SQL.
•    Experience in data modeling and building scalable data warehouses.
•    Hands-on experience with Airflow or AWS Step Functions for orchestration.
•    Proficiency in API development and integrations.
•    Strong understanding of data quality frameworks and monitoring practices.
•    Exposure to campaign analytics and marketing data platforms.
•    Excellent problem-solving skills and ability to work in a fast-paced environment.
•    Leadership skills with the ability to mentor and guide junior team members.

Nice to Have:
•    Experience with Terraform/CloudFormation for infrastructure as code.
•    Knowledge of streaming technologies (Kinesis, Kafka).
•    Exposure to CRM integration (SFMC, MS Dynamics, Veeva).
•    Familiarity with BI/reporting tools (Tableau, QuickSight).
•    AWS Certified Data Analytics – Specialty
•    AWS Certified Solutions Architect – Associate/Professional

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.