
Sr. Data Engineer
2 days ago
SPECIFIC DUTIES AND RESPONSIBILITIES:
- Design, develop, and maintain ETL pipelines using SSIS to extract, transform, and load data from multiple sources.
- Lead integration of NetSuite ERP data with internal and cloud-based systems.
- Develop and manage semantic models and OLAP cubes in Azure Analysis Services for reporting and analytics.
- Architect and implement data warehouse and data mart solutions to support scalable, high-performance data access.
- Collaborate with business stakeholders, analysts, and developers to define and implement data requirements.
- Monitor, troubleshoot, and optimize data pipelines for performance, accuracy, and reliability.
- Ensure data quality and consistency across the warehouse and downstream applications.
- Implement data governance, access control, and security best practices across all layers of the data stack.
- Document data flows, system architecture, and technical designs.
- Mentor junior data engineers and contribute to best practices in data engineering.
JOB SPECIFICATIONS:
- 5 to 7 years of experience in data engineering or ETL development.
- Expert in SSIS with hands-on experience designing complex ETL workflows.
- Strong experience integrating with NetSuite, including working with SuiteAnalytics Connect, Saved Searches, and APIs.
- Proficient in Azure Analysis Services and related Azure data tools (Data Factory, Synapse, Blob Storage).
- Deep knowledge of data warehousing principles (Kimball/Inmon methodologies) and data mart design.
- Strong SQL skills and experience with performance tuning of queries and ETL processes.
- Solid understanding of OLAP/semantic modeling and building Tabular Models in Azure AS.
- Experience working with large datasets and optimizing data flows.
- Familiarity with data security, privacy, and compliance best practices.
- Excellent communication skills, both verbal and written.
- Experience with Power BI or other reporting tools connected to Azure AS.
- Knowledge of other ERP or CRM systems in addition to NetSuite.
- Experience with DevOps practices and CI/CD for data pipelines.
- Background in financial, e-commerce, or SaaS data environments is a plus
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