
Ecommerce Data Solutions Architect
3 semanas atrás
Job Overview:
Our team is seeking a seasoned data engineer to help us design and implement a scalable data processing solution for our e-commerce platform. The ideal candidate will have expertise in Azure Data Factory, Synapse, and Python-based ETL tools.
Key Responsibilities:- Design and implement efficient data models to support big data volumes and integrate solutions with current architecture.
- Develop robust and scalable ETL/ELT pipelines using Azure Data Factory, Synapse, and pySpark.
- Integrate data from disparate sources, including databases, APIs, and external data providers.
- Collaborate with cross-functional teams to ensure successful data warehousing solutions.
- Strong recent hands-on expertise with Azure Data Factory and Synapse (3+ years).
- Experience leading a distributed team.
- Proficiency in designing and implementing data models, including conceptual, logical, and physical data models.
- Knowledge of Microsoft Azure services, including Azure Data Lake Storage, Azure Synapse Analytics, and Azure Databricks.
- Extensive experience with building scalable and reliable data solutions using cloud-based technologies.
- Ability to troubleshoot and optimize data pipelines for efficient data ingestion and analysis.
- Proficiency in SQL and proficiency in programming languages such as Python and shell scripting.
- Experience with Elasticsearch.
- Familiarity with containerization and orchestration technologies (Docker, Kubernetes).
- Troubleshooting and Performance Tuning: Ability to identify and resolve performance bottlenecks in data processing workflows and optimize data pipelines for efficient data ingestion and analysis.
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