Senior AWS Data Engineer

Job Description

Job Title: Senior AWS Data Engineer

Posting Start Date: 20/08/2026

Job Description:

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 Overview
We are looking for an AWS Junior Data Engineer with hands-on experience in building and maintaining data pipelines on AWS and Databricks platforms. The ideal candidate should have strong programming skills, experience working in Agile environments, and excellent communication skills to collaborate effectively with clients and internal teams.

Key Responsibilities
Develop, maintain, and optimize data pipelines using AWS services and Databricks.
Work with structured and unstructured data to support analytics and business requirements.
Design and implement data transformation processes using PySpark and Python.
Collaborate with client stakeholders to understand requirements and deliver data solutions.
Monitor and troubleshoot data workflows, ensuring data quality and reliability.
Participate in Agile ceremonies including sprint planning, stand-ups, reviews, and retrospectives.
Document technical solutions and follow data engineering best practices.

Required Skills
Good knowledge of AWS cloud services (S3, Glue, Lambda, EMR, Redshift, Athena or related services).
Hands-on experience with Databricks.
Strong programming skills in Python and PySpark.
Experience in developing ETL/ELT pipelines and data transformation processes.
Exposure to data warehousing and big data concepts.
Experience working directly with client-facing teams or onsite client engagements.
Understanding of Agile/Scrum methodologies.
Strong verbal and written communication skills.

Preferred Qualifications
AWS certification is an added advantage.
Knowledge of SQL and data modeling concepts.
Exposure to CI/CD and data pipeline automation tools.
.

Good to have

Key Competencies
Problem-solving and analytical thinking.
Client management and stakeholder communication.
Team collaboration and adaptability.
Ownership and commitment to delivery excellence

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.