Ovise has partnered on this search with a indsutry-leading SaaS provider. They're on the hunt for a Data Analytics Engineer experienced in building analytical data models, ELT / ETL pipelines, and data warehouses in a modern cloud setting.
Working in a dynamic team, you'll contribute to diverse projects, focusing on enhancing our data capabilities and supporting predictive analytics.
Key Responsibilities :
- Develop end-to-end data pipelines using advanced tools.
- Construct ELT flows for data ingestion, transformation, and loading.
- Design, implement, and maintain our data warehouse's dimensional data model.
- Ensure data warehouse performance optimization and integrity of data quality.
- Support machine learning predictive models integration into production systems.
- Forge custom integrations with 3rd party APIs for data delivery.
- Iterate on current business processes and aid in crafting new solutions.
- Collaborate with stakeholders to translate business requirements into technical solutions.
- Stay abreast of industry trends and best practices in data engineering, data science, and cloud technologies.
Requirements :
- 3+ years' experience in data analysis, data engineering, or analytics engineering.
- Proficiency in data warehouses, data pipelines, BI tools, and the modern data stack.
- Hands-on experience in designing and implementing dimensional models.
- Expertise in SQL, preferably with modern databases like Postgres or Snowflake.
- Familiarity with DBT, Python, or AWS is advantageous.
- Exposure to BI tools for automated reporting.
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