Data Engineer Enhancing Business Intelligence with AI Tools
Motive do
About the role
About
Elevate business operations as a Data Engineer, leveraging AI and advanced data architecture to drive efficiency. Join a dynamic team focused on innovative solutions and impactful data strategies.
As a seasoned Data Engineer, you will support the BI team in developing comprehensive data infrastructures that enhance operational effectiveness. Your role entails designing efficient data models in Snowflake and Iceberg, developing robust pipelines, and automating workflows to ensure data integrity. With your strong analytical skills, you will tackle complex problems, enabling stakeholders to harness data‑driven insights effectively.
Responsibilities
- Collaborate with stakeholders to design architectural solutions
- Develop and maintain robust data models using dbt and SQL
- Build reliable data pipelines and automate CI/CD workflows
- Champion data quality through rigorous testing and documentation
- Integrate AI capabilities for enhanced analytics and workflows
Requirements
- 6+ years in Data Engineering or Analytics Engineering
- Proficient in SQL and dimensional modeling
- Experience with Snowflake and Iceberg for data warehousing
- Skilled in Python, Airflow, and Terraform
- Strong analytical problem‑solving abilities
Additional Information
Shape the future with cutting‑edge data architecture and AI integration, driving impactful analytics in a fluid operational landscape.
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Requirements
- Proficient in SQL and dimensional modeling
- Experience with Snowflake and Iceberg for data warehousing
- Skilled in Python, Airflow, and Terraform
- Strong analytical problem-solving abilities
Responsibilities
- Collaborate with stakeholders to design architectural solutions
- Develop and maintain robust data models using dbt and SQL
- Build reliable data pipelines and automate CI/CD workflows
- Champion data quality through rigorous testing and documentation
- Integrate AI capabilities for enhanced analytics and workflows
Skills
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