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Data Warehouse Architect
2 months ago
About the Role
We are seeking a highly skilled Data Warehouse Developer to join our team at InfoMagnus. As a pioneer in digital evolution, we are driven by a passion for innovation and a commitment to practicality that positions us at the forefront of technology consulting.
Our approach goes beyond keeping pace with the industry - we lead it by crafting strategic solutions that blend deep technical expertise with transformative insights through Modern DevOps, Data and AI, and Application Modernization and Cloud.
As a dedicated partner, you will work closely with our cross-functional teams to understand business requirements and translate them into technical solutions that propel our business forward.
Key Responsibilities
- Design and implement robust data warehousing solutions using modern data warehousing concepts.
- Develop and maintain complex data models to meet business needs.
- Work extensively with Snowflake for data warehousing and cloud-based solutions.
- Develop and optimize SQL queries to handle large datasets.
- Utilize Talend ETL tools for efficient data integration, transformation, and load processes.
- Ensure the reliability and scalability of data infrastructure on AWS and Azure cloud platforms.
- Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
- Monitor and troubleshoot data workflows, ensuring data integrity and performance.
- Stay up to date with emerging trends and technologies in data engineering.
Requirements
- Data Warehousing Design Concepts: Expertise in creating scalable and efficient data warehouses.
- Data Modeling: Strong knowledge of data modeling techniques and best practices.
- Snowflake: Hands-on experience with Snowflake as a data warehousing solution.
- SQL: Proficiency in writing and optimizing complex SQL queries.
- Talend ETL: Experience with Talend for building and managing ETL processes.
- AWS and Azure: Practical experience in using cloud platforms for data engineering.
Good to Have
- Experience with Fivetran for data integration.
- Familiarity with DBT (Data Build Tool) for data transformations
