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A global sports technology hub offering multiple solutions to millions of users worldwide. The company provides Real-Time results, updated stats, original content, aggregated information, customized news feeds, and more. Our products are based on cutting-edge technologies that enable live updates and on-demand content libraries of the highest quality and scale. We are looking for a talented and experienced data ENGINEER to join our data engineering team. In this role, you will be responsible for designing, implementing, and maintaining our data pipelines and infrastructure. You will collaborate closely with cross-functional teams, including data scientists, analysts, and software engineers, to ensure the availability, accessibility, and quality of our data assets. Your expertise in data processing, database technologies, and ETL processes will be essential in enabling effective data utilization and analysis.
Responsibilities:
* Design, develop, and maintain efficient and scalable data pipelines that extract, transform, and load data from various sources into target systems.
* Monitor and optimize data pipelines for performance, reliability, and data quality.
* Implement and manage data Storage solutions, including relational databases, data warehouses, and NoSQL databases.
* Implement data partitioning, indexing, and compression strategies for improved performance and scalability.
* Identify and resolve data quality issues, including data cleansing, standardization, and validation.
* Identify and implement performance optimization techniques to enhance data processing speed, query performance, and system scalability.
* Monitor and analyze data infrastructure and pipeline performance, identifying bottlenecks and implementing optimizations.
* Stay updated on emerging technologies and trends in data engineering, proactively identifying opportunities for innovation and improvement.