ETL Engineer
Buenos Aires
RYZ Labs – Engineering /
Full Time - Contract /
Remote
Remote position (only for professionals based in Latam)
RYZ is looking for an ELT Engineer to work with one of our partners and help them to Develop and maintain the ELT (Extract, Load, Transform) process for building their central database information.
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.
Requirements:
- Bachelor's degree in Computer Science, Engineering, or a related field. Advanced degree preferred.
- 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.
Preferred Qualifications:
- Experience working with big data technologies such as Hadoop, Spark, or Kafka.
- Experience consuming data from APIs and web scraping
- Previous experience in the sports analytics or related industry.
- Certification in cloud computing or data engineering.
Our values and what to expect:
- Customer First Mentality - every decision we make should be made through the lens of the customer.
- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.
- Ownership - step up if you see an opportunity to help, even if not your core responsibility. Humility and Respect - be willing to learn, be vulnerable, and treat everyone that interacts with RYZ with respect.
- Frugality - being frugal and cost conscious helps us do more with less.
- Deliver Impact - get things done in the most efficient way.
- Raise our Standards - always be looking to improve our processes, our team, our expectations. Status quo is not good enough and never should be.
