Cloud Data Solutions Architect
3 days ago
Job Description:
Data Engineering ExpertiseWe are seeking a highly skilled Azure Data Engineer to design and develop data pipelines and ETL processes for ingesting, transforming, and loading data from various sources into data warehouses or data lakes.
- Main Responsibilities:
- Build and maintain data models and data structures to support analytical and reporting requirements aligned with business objectives.
- Collaborate with cross-functional teams to integrate data engineering solutions into client applications and enterprise systems.
- Optimize and tune data pipelines and systems for performance, scalability, and cost efficiency.
- Detailed Responsibilities:
- Ensure data quality and integrity throughout the data lifecycle, implementing rigorous monitoring and validation processes to ensure data accuracy and consistency.
- Design and build efficient pipelines to get data from different source systems like D365 F&O, CE, Salesforce, Workday, SAP, APIs, SFTP, on-prem data sources.
- Use Azure Data Factory or Synapse to create multiple complex pipelines and activities using both Azure and on-prem data stores for full and incremental data loads into ADLS.
- Skill Requirements:
- Strong expertise in Azure Data Factory, Synapse Pipelines, and Spark Notebooks.
- Familiarity with cloud concepts such as IaaS, PaaS, SaaS, and cloud automation workflows.
- Additional Skills:
- Experience with PowerShell scripting, ARM templates, and Git/GitHub.
- Familiarity with Microsoft Fabric data factory and data engineering, Data Mesh architecture, Azure Purview, and Data Governance frameworks.
- Proficiency in Common Data Model, Dataverse, Power BI, Data Flows, Data API Gateways, SQL, T-SQL stored procedures, and Azure tools.
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