Azure Cloud Data Engineer

Role- Azure Cloud Data Engineer

Location – Onsite to Greenfield IN

Rate – FTE upto 150k

Experience Range: 10– 20 years of overall IT experience.

The ideal candidate should be passionate about working on Data Engineering on Azure cloud with strong focus on DevOps practices in building product for our customers.

Join a team driving modern Azure Data Engineering and Lakehouse transformation using Databricks, PySpark, ADF, and cloud-native technologies.

We are seeking a highly skilled Data Engineering specialist with below mentioned Primary Skills to join our dynamic team who are at the forefront of enabling enterprises in Healthcare sectors.

Mandatory – Primary skills writeup with exact no. of experience years –

Skills should reflect on resume too under all relevant projects

Primary/Writeup Skills

• Do you have any prior experience with this client – Elanco/ Elly Lilly (Yes or No), if yes duration and project manager-

• Azure Synapse and Databricks Lakehouse.
• Good to have experience developing and maintaining Change Data Capture (CDC) solutions preferably using Debezium.
• Good to have Azure Entra/AD skills and GitHub Actions.
• Good to have orchestration experience using Airflow, Dagster, LogicApp.
• Good to have experience working on event-driven architectures using Kafka, Azure Event Hub.
• Good to have exposure on Google Cloud Pub/Sub.
• Good to have experienced in managing cloud storage solutions on Azure Data Lake Storage .
• Experience with Google Cloud Storage will be an advantage.
• Effectively Communicate and Collaborate with internal teams and customer to build code leveraging or building low level design documents aligning to standard coding principles and guidelines.

This role offers:

Opportunity to work on enterprise-scale Azure data platforms
Hands-on exposure to Databricks, PySpark, ADF, and Lakehouse architecture
Ownership of solution design and technical decisions
Opportunity to lead, mentor, innovate, and drive engineering best practices