
High-Quality Data Architect
1 week ago
Job Overview
We are seeking an experienced Senior Data Engineer to design and build robust, scalable data pipelines that support analytics and reporting needs.
Main Responsibilities:- Design and implement high-quality data pipelines for analytics and reporting purposes.
- Integrate structured and unstructured data from various sources into data lakes and warehouses.
- Collaborate with data scientists, analysts, and platform engineers to enable analytics and ML use cases.
- Operationalize data solutions on cloud platforms, integrating services like Azure, Snowflake, and third-party technologies.
- Apply dimensional modeling, star schemas, and data warehousing techniques to support business intelligence and machine learning workflows.
- 7+ years of data engineering or design experience.
- 5+ years of experience in ML Lifecycle using Azure Kubernetes service, Azure Container Instance service, Azure Data Factory, Azure Monitor, Azure DataBricks building datasets, ML pipelines, experiments, logging, and monitoring.
- 5+ years of experience in data engineering using Snowflake.
- Experience in designing, developing & scaling complex data & feature pipelines feeding ML models and evaluating their performance.
- Proficiency in SQL and any one other programming language.
Please note that a degree is not required; relevant skills and experience are essential.
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