Azure Data Engineer
3 months ago
Primary Skills : ADF,Databricks
Secondary Skills : DBT, Python, Databricks, Airflow, Fivetran, Glue, Snowflake
Role Responsibility :
- 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.
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