Real-Time Sports Data Engineer
2 weeks ago
Quidich Innovation Labs is a pioneering company in the field of customized technology solutions for sports broadcasting. Headquartered in Mumbai, India, we leverage the power of storytelling to bring people together through innovative technology tools.
Job OverviewWe are seeking a skilled Real-Time Sports Data Engineer to design and maintain robust data pipelines and infrastructure that support real-time sports analytics and broadcasting. In this role, you will work closely with our Data Science team to build efficient, scalable data solutions that ensure reliable data flow and integrity during live sporting events.
Key Responsibilities:- Designing, developing, and maintaining efficient ETL pipelines and workflows on AWS to facilitate smooth data ingestion, processing, and analysis.
- Building scalable and reliable data solutions to collect and ingest live player position data at high frequency from various data sources and APIs.
- Collaborating with the Data Science team to implement data transformation and aggregation algorithms that enable advanced pattern recognition and analysis of player positions, game events, and tactical trends.
- Optimizing data storage and retrieval mechanisms to ensure high performance and low latency, supporting real-time data access for the broadcast and analytics teams.
- Implementing robust data quality measures and validation processes to maintain data accuracy, consistency, and reliability across multiple live events.
- Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or a related field.
- Proven 2+ years of experience in data engineering roles, particularly in managing high-volume, real-time data.
- Proficiency in AWS services (e.g., S3, EC2, Lambda, API Gateway) and experience building cloud-based data solutions.
- Strong experience in designing and maintaining ETL processes and data pipelines, ideally with streaming data frameworks.
- Proficiency in programming languages such as Python, Scala, or Java, with experience in building data transformation and aggregation algorithms.
This role offers a competitive salary of approximately $120,000 - $180,000 per annum, commensurate with experience, plus additional benefits including health insurance, retirement savings plan, and opportunities for professional growth and development.
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