Subject Matter Expert (Support&Ops)

About the role

Utilizes software engineering principles to deploy and maintain fully automated data transformation pipelines that combine a large variety of storage and computation technologies to handle a distribution of data types and volumes in support of data architecture design. An Data Analyst and develop data pipelines that are resilient to change, modular, flexible, scalable, reusable, and cost effective.

What you'll do

• Design, develop, and maintain data pipelines and ETL processes using Microsoft Azure services (e.g., Azure Data Factory, Azure Synapse, Azure Databricks, Azure Fabric)
• Utilize Azure data storage accounts for organizing and maintaining data pipeline outputs. (e.g., Azure Data Lake Storage Gen 2 & Azure Blob storage)
• Good Hands-on in PowerApps, Power Automate, Power BI
• Collaborate with data architects and other stakeholders to understand data requirements and deliver high-quality data solutions
• Optimize data pipelines in the Azure environment for performance, scalability, and reliability

What you need

• 3–5 yrs of experience
• SQL
• PostgreSQL
• ETL
• Azure
• REST APIs
• Azure Data Factory
• B.Tech or B.E. or B.Sc or BCA

Good to have

• Java
• JavaScript
• Python
• Git
• C#
• Ansible