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Posted almost 2 years ago
Responsibilities & more
🟢 Requirements:
- Experience with data engineering and SQL/NoSQL.
- Knowledge of Cosmos DB, Azure SQL Database and Azure Data Lake.
🟢 Responsibilities:
- Create and maintain an optimal data pipeline architecture.
- Assemble large and complex data sets that meet business, functional and non-functional requirements.
- Identify, design and implement internal process improvements: automation of manual processes, optimization of data deliveries, redesign of infrastructure for greater scalability.
- Create the necessary infrastructure for optimal data extraction, transformation and loading from a wide variety of data sources using big data technologies.
- Create analytics tools that use the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
- Work with stakeholders, including executive, product, data, and design teams, to assist with data-related technical issues and support their data infrastructure needs.
- Keep our data separate and secure across national borders across multiple data centers and GCP regions.
- Create data tools for analytics team members and data scientists to help them build and optimize our product into an innovative industry leader.
- Work with data and analytics experts to strive for greater functionality in our data systems.
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