
Azure ETL Pipeline Architect
1 week ago
Job Requirements
We are seeking an experienced Cloud Data Engineering Specialist to join our team at Shrewd Codes. This role will be responsible for designing, implementing, and maintaining large-scale data pipelines using Azure Data Factory.
Key Responsibilities:
- Design and implement data orchestration workflows using Azure Data Factory Pipelines & Dataflows.
- Develop a deep understanding of the business requirements and provide insights from a data perspective.
- Create simple to complex pipelines & dataflows in ADF.
- Implement security and authorization frameworks within data modules.
- Stay up-to-date with changing processes as the project evolves in size and function.
- Implement visualization and traditional reporting in Power BI.
Requirements:
- Expert level knowledge of Azure Data Factory and Power BI.
- Experience with analytics, particularly in real estate and finance domains.
- Advanced knowledge of Azure SQL DB & Synapse Analytics, Power BI, SSIS, SSAS, and Logic Apps.
- Able to analyze and understand complex data.
- Experience with security implementation like RLS in Power BI and data governance in Azure.
- Knowledge of Azure Data Lake, SQL Databases, Stream Analytics, Azure DevOps, and CI/CD.
- Strong data modeling and database design skills with excellent knowledge of SQL Server best practices.
- Excellent interpersonal and communication skills (both oral and written) with the ability to communicate at various levels with clarity & precision.
- Candidate must have a clear understanding of DW lifecycle and contribute to preparing design documents, unit test plans, and code review reports.
- Experience working in an Agile environment (Scrum, Lean, Kanban) is a plus.
- Familiarity with big data technologies – Spark Framework, NoSQL, Azure Data Bricks, and Hadoop Ecosystem (Hive, Impala, HDFS, YARN, Pig, Oozie) is a plus.
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