Senior Data Engineer - Azure

Translate functional specifications and change requests into
technical specifications
Translate business requirement document, functional specification, and technical specification to related coding
Develop efficient code with unit testing and code documentation
Ensuring accuracy and integrity of data and applications through analysis, coding, documenting, testing, and problem solving
Setting up the development environment and configuration of the development tools
Communicate with all the project stakeholders on the project status
Manage, monitor, and ensure the security and privacy of data to satisfy business needs Contribute to the automation of modules, wherever required
To be proficient in written, verbal and presentation communication (English)
Co-ordinating with the UAT team

Role Requirement:
Proficient in basic and advanced SQL programming concepts (Procedures, Analytical functions etc.)
Good Knowledge and Understanding of Data warehouse concepts (Dimensional Modeling, change data capture, slowly changing dimensions etc.)
Knowledgeable in Shell / PowerShell scripting
Knowledgeable in relational databases, nonrelational databases, data streams, and file stores
Knowledgeable in performance tuning and optimization
Experience in Data Profiling and Data validation
Experience in requirements gathering and documentation processes and performing unit testing
Understanding and Implementing QA and various testing process in the project
Knowledge in any BI tools will be an added advantage
Sound aptitude, outstanding logical reasoning, and analytical skills
Willingness to learn and take initiatives
Ability to adapt to fast-paced Agile environment

Additional Requirement:
Demonstrated expertise as a Data Engineer, specializing in Azure cloud services.
Highly skilled in Azure Data Factory, Azure Data Lake, Azure Databricks, and Azure Synapse Analytics.
Create and execute efficient, scalable, and dependable data pipelines utilizing Azure Data Factory.
Utilize Azure Databricks for data transformation and processing.
Effectively oversee and enhance data storage solutions, emphasizing Azure Data Lake and other Azure storage services.
Construct and uphold workflows for data orchestration and scheduling using Azure Data Factory or equivalent tools.
Proficient in programming languages like Python, SQL, and conversant with pertinent scripting languages.