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4 weeks ago
We are seeking a highly skilled Senior Data Warehouse Engineer to manage a single version of the truth of data, convert business entities into facts and dimensions, and integrate data from various sources.
Key Responsibilities:- Data Warehouse Development: Responsible for managing a single version of the truth and turning data into critical information and knowledge that can be used to make sound business decisions.
- Dimensional Modeling: Convert business entities into facts and dimensions to provide a structured and efficient data model that supports accurate and insightful business analysis.
- Data Integration: Collaborate with cross-functional teams to integrate data from various source systems such as Oracle NetSuite, Salesforce, Ragic, SQL Server, MySQL, and Excel files.
- Data Transformation: Develop and maintain ETL processes using Microsoft SSIS, Python or similar ETL tools to load data into the data warehouse.
- Performance Optimization: Optimize queries, indexes, and database structures to improve efficiency.
- Requirement Analysis: Work closely with key users and business stakeholders to define requirements.
- Documentation: Maintain comprehensive technical documentation for data warehouse processes, data integration, and configurations.
- Team Collaboration: Mentor and guide junior team members, fostering a collaborative environment.
- Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
- 7+ years of experience with Microsoft SQL Server.
- Expertise in building Data Warehouse using SQL Server.
- Hands-on experience Dimensional Modeling using Facts and Dimensions.
- Expertise in SSIS and Python for ETL development.
- Strong experience in Power BI for reporting and data visualization.
- Strong understanding of relational database design, indexing, and performance tuning.
- Ability to write complex SQL scripts, stored procedures and views.
- Experience with Git and JIRA.
- Problem-solving mindset and analytical skills.
- Excellent communication and documentation abilities.
- Experience with cloud-based SQL databases (e.g., Azure SQL, Azure Synapse).
- Experience with cloud-based ETL solutions (Azure Data Factory, Azure Databricks).
- Familiarity with CI/CD for database deployments and automation tools.
- Knowledge of big data technologies like Snowflake.
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