Data Engineering Lead
5 days ago
- Design, build, and support ETL workflows using SSIS to manage and transform data from multiple sources.
- Collaborate on integrating NetSuite ERP data with both internal and cloud-based systems.
- Develop and maintain data models and OLAP cubes within Azure Analysis Services for analytics and reporting.
- Create and optimize data warehouse and data mart solutions for scalable and reliable data delivery.
- Work closely with business and technical teams to gather and implement data requirements.
- Ensure data pipelines are accurate, efficient, and continuously improved through monitoring and optimization.
- Maintain consistency, quality, and governance standards across all data environments.
- Implement and enforce data security and access control protocols to protect sensitive information.
- 5–7 years of experience in data engineering, ETL development, or related roles.
- Strong background in SSIS for building and managing complex data workflows.
- Skilled in integrating NetSuite ERP data using SuiteAnalytics Connect, Saved Searches, or APIs.
- Proficient in Azure data tools such as Data Factory, Synapse, Analysis Services, and Blob Storage.
- Solid grasp of data warehousing concepts, including dimensional modeling and Kimball/Inmon methodologies.
- Advanced SQL skills for optimizing queries and ETL processes.
- Familiar with building tabular or semantic models in Azure Analysis Services.
- Experience managing large-scale datasets and improving data performance.
- Knowledgeable in data privacy, security, and compliance best practices.
- Excellent communication and teamwork abilities.
- Experience with Power BI or similar BI visualization platforms.
- Exposure to ERP or CRM systems is an advantage.
- Familiarity with DevOps and CI/CD pipelines for data workflows is preferred.
- Industry experience in financial services, e-commerce, or SaaS is a plus.
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