Position Overview: As a Data Warehouse Consultant, you will be responsible for designing and implementing state-of-the-art data warehouse architectures that enable businesses to make data-driven decisions. You will lead the integration of data from various sources, ensure data quality, and provide expert consulting to the team. Your expertise in Power BI and data modeling will be crucial in delivering actionable insights and creating high-performance analytical solutions.
Key Responsibilities:
- Requirements Analysis:
- Collaborate with business stakeholders to gather requirements and translate them into actionable data strategies.
- Define key metrics, KPIs, and reporting needs to ensure that the data warehouse supports business goals effectively.
- Data Warehouse Architecture & Implementation:
- Design and implement scalable, robust data warehouse architectures that support business intelligence needs.
- Develop data models, build ETL processes, and optimize data storage to ensure efficient querying and reporting.
- Data Integration:
- Integrate data from multiple diverse sources, including databases, APIs, and flat files, into a cohesive data warehouse.
- Ensure seamless synchronization and consistency of data across systems, enhancing the accuracy and reliability of the data.
- Data Quality Assurance:
- Implement and enforce data quality practices to ensure the completeness, accuracy, and consistency of data within the data warehouse.
- Apply data governance frameworks to maintain high standards of data integrity.
- Consulting & Collaboration:
- Provide expert guidance to internal teams on best practices in data warehousing, Power BI utilization, and data modeling.
- Work closely with business and technical teams to ensure the successful delivery of data solutions.
- Power BI & Data Modeling:
- Develop efficient, scalable data models in Power BI, enabling dynamic reporting and insightful data analysis.
- Design and implement interactive dashboards and reports that meet the needs of end users while ensuring performance and usability.
Mandatory Skills & Qualifications:
- Power BI Expertise:
- Strong proficiency in Power BI for data visualization, reporting, and dashboard development.
- In-depth knowledge of Power BI data modeling, DAX, Power Query, and M language.
- Data Warehouse Architecture:
- Proven experience designing and implementing data warehouse architectures (e.g., Kimball, Inmon, or Data Vault methodologies).
- Expertise in ETL processes, data integration, and optimization across cloud and on-premises environments.
- Data Quality & Integration:
- Demonstrated ability to ensure high data quality and consistency across multiple systems.
- Experience integrating data from diverse sources and creating efficient data pipelines.
- Consulting & Mentoring:
- Strong communication skills to consult with business stakeholders and mentor junior team members.
- Ability to guide teams on best practices and provide valuable input for data solution design.
Preferred Skills:
- Experience with cloud data warehouse solutions (e.g., AWS, Azure, Google Cloud).
- Familiarity with SQL, NoSQL databases, and modern data engineering tools.
- Strong analytical mindset and problem-solving skills.
Education & Experience:
- Bachelor’s degree in Computer Science, Information Systems, or a related field (Master’s degree preferred).
- At least 5 years of hands-on experience in data warehousing, Power BI, and data integration.