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Data Warehouse Manager
1 week ago
- Lead the entire development cycle of data warehouse solutions, covering requirements gathering, design, deployment, and maintenance.
- Design and enhance data models, ETL processes, and data integration strategies to guarantee reliability, scalability, and performance.
- Develop and manage ETL scripts and workflows using top-notch tools and technologies.
- Work closely with business stakeholders to grasp data needs and convert them into technical solutions.
- Establish data quality and governance procedures to maintain data accuracy and consistency in the warehouse.
- Monitor and enhance data warehouse performance, pinpoint bottlenecks, and apply improvement measures.
- Offer technical guidance and mentorship to junior team members in the data warehouse domain.
- Stay updated on industry trends and best practices concerning data warehouse architecture, data management, and analytics.
- Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
- Minimum of 5 years of practical experience in data warehousing, emphasizing design, development, and implementation.
- Proficiency in SQL and hands-on experience with database technologies like Oracle, SQL Server, or PostgreSQL.
- Extensive familiarity with ETL tools such as Informatica, Talend, or SSIS.
- Thorough understanding of data modeling principles (dimensional modeling, star schema, snowflake schema, etc.).
- Strong analytical and critical thinking abilities to transform intricate business requirements into technical resolutions.
- Outstanding communication and teamwork skills to collaborate efficiently with diverse teams.
- Experience with cloud-centered data warehouse platforms (e.g., AWS Redshift, Google BigQuery, Snowflake) is advantageous.
- Pertinent certifications (e.g., Certified Data Management Professional, AWS Certified Solutions Architect) are immensely appealing.
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