Key Skills: ADF, Python, Data Engineering, Azure Databricks, Azure Cloud, Azure Synapse

Roles and Responsibilities:

- Design and implement data engineering solutions on Azure, including scalable ingestion and transformation pipelines.

- Build and optimize cloud-based data solutions to support analytics, reporting, and data consumption use cases.

- Develop, test, and maintain data workflows with a focus on reliability, performance, and data quality.

- Collaborate with stakeholders to translate data requirements into technical designs and deliverables.

- Monitor pipeline health and troubleshoot data processing issues to ensure timely and accurate data delivery.

Skills Required:

- 8-12 years of relevant experience in data engineering on cloud platforms





- Azure cloud services for building and operating data solutions

- Data engineering experience across the data pipeline lifecycle

- Cloud-based data solutions development with a focus on scalability and reliability

- Hands-on delivery of production-grade data workflows (ingestion, transformation, and data delivery)

Valuable to Have

- Python

- SQL

- Azure Data Factory

- Azure Databricks

- Azure Synapse Analytics

Education: Bachelor's Degree in Computer Science, Master's Degree in Computer Science

📌 Azure Data Engineer (Bengaluru)
🏢 Careernet
📍 Bengaluru