Overall 7-8 years of experience with a minimum 5+ years of relevant professional 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
- Good to have knowledge on Azure fundamentals
Desirable skills
Good ability to anticipate issues and formulate remedial actionsSound interpersonal and team working skillsSound Knowledge of unit testing methodologies and frameworksShould be able to work independentlyGood communication skillsSkills Required
Power Bi, Azure Devops, Adf, Sql, Adb