Responsibilities:

Overall 7 8 years of experience with a minimum 5+ years of relevant qualified work experience
Design, implement, and maintain data pipelines for data ingestion, processing, and transformation in Azure.
Work together with data analysts to understand the needs for data and create effective data workflows.
Create and maintain data storage solutions including Azure SQL Database, Azure Data Lake
Utilizing Azure Data Factory to create and maintain ETL (Extract, Transform, Load) operations using ADF pipelines.
Hands-On Experience working on Data Bricks for implementing Transformations and Delta Lake
Hands-On Experience working on Serverless SQL Pool, Dedicated SQL Pool
Use ADF pipelines to orchestrate the end to end data transformation including the execution of DataBricks notebooks.
Should have experience working on Medallion Architecture
Experience working on CI/CD pipelines using Azure DevOps
Attaching both ADF and ADB to DevOps




Creating and managing Azure infrastructure across the landscape using Bicep
Implementing data validation and cleansing procedures will ensure the quality, integrity, and dependability of the data.
Improve the scalability, efficiency, and cost-effectiveness of data pipelines.
Monitoring and resolving data pipeline problems will guarantee consistency and availability of the data.
Good to have exposure on Power BI, Power Automate
Positive to have knowledge on Azure fundamentals

Desirable skills
Good ability to anticipate issues and formulate remedial actions
Sound interpersonal and team working skills
Sound Knowledge of unit testing methodologies and frameworks
Should be able to work independently
Positive communication skills

📌 Azure Big Data Specialist Bengaluru
🏢 PradeepIT Consulting Services
📍 Bengaluru