Job Description:

- Design, develop, and maintain end-to-end Azure data engineering solutions using Azure Data Factory, Azure Databricks, and Azure Data Lake Store.

- Build scalable and high-performance ELT/ETL pipelines for data ingestion, transformation, and integration from multiple source systems.

- Develop robust data processing workflows using PySpark, Python, and SQL within Azure Databricks.

- Design and implement data models optimized for analytics, reporting, and enterprise data platforms.

- Build and manage data integration and ingestion frameworks using Azure Data Factory and Synapse Analytics.

- Work with structured and unstructured datasets to deliver reliable and high-quality data solutions.

- Optimize data pipelines for performance, scalability, reliability, and cost efficiency.

- Collaborate with business stakeholders, architects, analysts,



and engineering teams to translate business requirements into technical solutions.

- Present data design approaches, implementation updates, and technical findings to business and IT stakeholders.

- Manage source code, CI/CD pipelines, and deployment processes using GitHub, GitHub Actions, and Azure DevOps.

- Support incident management, problem management, and change management activities for data platforms.

- Mentor junior data engineers and contribute to engineering best practices, CoE, and knowledge-sharing initiatives.

- Ensure proper documentation of data solutions using MKDocs and maintain technical design artifacts.

- Participate in Agile/Scrum ceremonies including sprint planning, backlog refinement, stand-ups, reviews, and retrospectives.

📌 Azure Data Engineer (Bengaluru)
🏢 Acme Services Private
📍 Bengaluru