
Sr Data Engineer
4 days ago
- Design, develop, and maintain ETL workflows using SSIS to process data from various systems.
- Support the integration of NetSuite ERP data with internal and cloud-based platforms.
- Create and manage semantic models and OLAP cubes in Azure Analysis Services for reporting and analytics.
- Develop data warehouse and data mart solutions to enable scalable and efficient data access.
- Work with business users, analysts, and developers to define and implement data requirements.
- Monitor, troubleshoot, and enhance data pipelines to ensure accuracy and efficiency.
- Maintain data quality, consistency, and governance standards across all data environments.
- Apply data security and access control measures to safeguard information.
- 5–7 years of experience in data engineering or ETL development.
- Hands-on experience in SSIS, including building and maintaining complex workflows.
- Experience integrating with NetSuite ERP using SuiteAnalytics Connect, Saved Searches, or APIs.
- Practical experience with Azure data tools such as Analysis Services, Data Factory, Synapse, and Blob Storage.
- Knowledge of data warehousing methodologies (Kimball/Inmon) and dimensional modeling.
- Proficient in SQL with experience optimizing queries and ETL processes.
- Familiarity with semantic modeling and creating tabular models in Azure AS.
- Experience handling large datasets and optimizing data flows.
- Understanding of data security, privacy, and compliance practices.
- Good communication and collaboration skills.
- Experience using Power BI or similar visualization tools.
- Exposure to other ERP or CRM systems is an advantage.
- Knowledge of DevOps practices and CI/CD for data projects is preferred.
- Background in financial services, e-commerce, or SaaS industries is a plus.
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