Ryz Labs is hiring a
ETL Engineer

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Ryz Labs

πŸ’΅ ~$48k-$75k
πŸ“Remote - Argentina

Summary

Join RYZ as an ELT Engineer to work with a partner and develop/maintain the ELT process for their central database information.

Requirements

  • Bachelor's degree in Computer Science, Engineering, or a related field
  • Proven experience designing and implementing ELT processes in a data-intensive environment
  • Strong proficiency in data manipulation and transformation using tools such as Python (Pandas), SQL, and ETL frameworks
  • Experience working with cloud-based data storage and processing platforms, preferably AWS services such as S3 and DocumentDB
  • Familiarity with data governance best practices and regulatory requirements
  • Excellent analytical and problem-solving skills, with a keen attention to detail
  • Effective communication skills and ability to collaborate with cross-functional teams
  • Proactive mindset with a strong desire for continuous learning and improvement
  • Experience consuming data from APIs and web scraping

Responsibilities

  • Collaborate closely with data scientists to understand the nature of the data being pulled from various sources, identifying key data validations and enrichment processes
  • Design and implement automated workflows to extract raw data from diverse sources and ingest it into our datalake environment
  • Structure and transform the raw data using advanced data manipulation techniques to ensure consistency, integrity, and usability
  • Enrich the data with contextual information and metadata to enhance its value for use by data scientists and analysts
  • Work closely with the technical team to optimize performance and scalability of the ELT process
  • Ensure data quality and integrity through rigorous validation and testing procedures
  • Monitor and troubleshoot data pipeline issues to ensure smooth and uninterrupted operation

Preferred Qualifications

  • Experience working with big data technologies like Hadoop, Spark, or Kafka
  • Previous experience in sports analytics or related industry
  • Certification in cloud computing or data engineering

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