Description

Roles & Responsibilities:
• Understand business requirement and actively provide inputs from Data perspective
• Understand the underlying data and flow of data.
• Build simple to complex pipelines & dataflows.
• Should be able to implement modules that has security and authorization frameworks.
• Recognize and adapt to the changes in processes as the project evolves in size and function.
Knowledge, Skills & Abilities:
• Expert level knowledge on Azure Data Factory
• Advance knowledge of Azure SQL DB & Synapse Analytics, Power BI, SSIS, SSRS, T-SQL, Logic Apps
• Should be able to analyze and understand complex data
• Knowledge of Azure data lake is required and Azure Services like Analysis Service, SQL Databases, Azure DevOps, CI/CD is a must.
• Knowledge of master data management, data warehousing and business intelligence architecture.
• Experience in data modeling and database design with excellent knowledge of SQL Server best practices.
• Excellent interpersonal/communication skills (both oral/written) with the ability to communicate at various levels with clarity & precision.
• Should have clear understanding of DW lifecycle and contribute in preparing Design documents, Unit Test plans, Code review reports.
• Experience working in Agile environment (Scrum, Lean, Kanban) is a plus
• Knowledge of Big data technologies –Spark Framework, NoSQL, Azure Data Bricks and Haqoop Ecosystem- Hive, Impala, HDFS, YARN, Pig, Oozie is a plus.
Qualifications & Experience:
• Bachelor or master’s degree in computer science or related field.
• At least 6-8 years of Data engineering or Software development experience

Education

Bachelor or master’s degree in computer science