We’re searching for a Data Warehouse Architect to join a project and lead the way in building robust, scalable data analytic solutions.
Project description:
The project involves designing and implementing a robust, scalable, and efficient data analytics system tailored to meet the organization’s growing data processing and reporting needs. The system will empower stakeholders to make data-driven decisions by integrating data from multiple sources, transforming it into a centralized data warehouse, and enabling advanced analytics and visualization.
Key Responsibilities:
- Design, implement, and maintain efficient, scalable, and high-performance data warehouse solutions.
- Collaborate with stakeholders to understand business requirements and translate them into technical specifications.
- Develop data models, schemas, and ETL/ELT processes to support analytics and reporting.
- Ensure data integrity, security, and governance in all systems.
- Explore and propose alternative data storage solutions for performance enhancement.
- Monitor and resolve database tasks proactively to maintain seamless operations.
- Ability to follow best coding standards practices.
Requirements:
Experience:
- 3+ years in developing 2-3 data warehouse architectures from scratch.
- Strong experience in relational and non-relational databases.
- Expertise in database management systems (e.g., Snowflake, Redshift, BigQuery), and data integration tools.
- Expertise in building OLAP cubes.
- Experience in implementing analytical systems in a product company.
Technical Skills:
- Proficiency in cloud platforms (e.g., Azure, AWS, or Google Cloud).
- Experience with BI tools such as Power BI or Tableau.
- Knowledge of data modeling, ELT/ETL processes, and data warehouse design principles.
- Basic programming knowledge in Python, Java, or C#.
- Familiarity with Unix shell scripting and job automation.
Nice-to-Have:
- English at an upper-intermediate (B1+) level.
- Experience with advanced technologies like Azure DevOps, and real-time data processing.
What We Offer:
- Full-time or Part-time job.
- Competitive compensation based on your experience and skills.
- Involvement in exciting projects and challenging tasks.
- A friendly and collaborative team culture.
If you’re passionate about turning complex data into actionable insights and creating robust data solutions, we’d love to hear from you!