Title:  Associate Manager Data Engineering, Databricks

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: Associate Manager - Data Engineering

Description: 

Architect and implement end-to-end data solutions using Databricks, Spark, Delta Lake, and cloud services (AWS, Azure, GCP).
Lead data migration and transformation initiatives from legacy systems to modern lakehouse architectures.
Collaborate with stakeholders to gather requirements and translate them into technical designs.
Build and optimize data pipelines using PySpark, SQL, and Databricks Workflows.
Ensure robust data governance, security (RBAC, Unity Catalog), and compliance.
Guide teams in CI/CD practices using Databricks Asset Bundles or similar tools.
Provide technical leadership and mentorship to engineering teams.
Evaluate emerging technologies and contribute to innovation and continuous improvement.
Create documentation, training materials, and support post-deployment adoption.

Desired Profie: 
7+ years of experience in data engineering or cloud architecture.
3+ years of hands-on experience with Databricks.
Should have experience in commercial datasets - IQVIA sales, Veeva CRM, HCP profiles, Marketing, etc, 
Strong proficiency in Python, PySpark, SQL, and optionally Scala.
Expertise in Spark, Delta Lake, DLT, and Lakehouse architecture.
Experience with cloud platforms (AWS, Azure, GCP) and their integration with Databricks.
Familiarity with data governance, observability, and performance optimization.
Strong understanding of CI/CD, DevOps, and DataOps workflows.
Databricks certifications (e.g., Data Engineer Associate/Professional, Lakehouse Architect).
Experience with MLflow, TensorFlow, or other ML frameworks is a PLUS
Excellent communication and stakeholder management skills.

Required Skills:
Primary Skills    Databricks, Python, Datamodelling, SQL
Secondary Skills    Data Modelling, Pyspark, ETL, SQL

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.