Data Architect designing and governing data foundations for analytics and AI applications at Clio. Collaborating cross - functionally to develop high - quality data models and standards.
About the role
- Senior Data Engineer building and maintaining data pipelines for cloud and AI solutions at Qodea. Collaborating with ML engineers and focusing on reliability and performance in a cloud-native environment.
Responsibilities
- Build and monitor batch and real-time data pipelines to ingest and process product and consumer data.
- Implement data transformations for deduplication, entity resolution, and feature engineering.
- Optimise pipeline performance and ensure high availability in GCP environments.
- Maintain metadata layers and embeddings for use in ML and personalisation services.
- Ensure data quality through rigorous validation rules and automated monitoring.
- Work closely with ML engineers to provide high-quality data for model training.
Requirements
- Strong experience with Python, Java, or Scala for data processing tasks.
- Skilled in using BigQuery, SQL, and dbt to manage large datasets.
- Comfortable working with a variety of data structures and formats.
- A meticulous approach to data lifecycle management and schema design.
- Experience with streaming technologies such as Pub/Sub or Kafka.
Benefits
- 10 days PTO + 17 days paid public holidays
- Pension
- Law 19032 (Social Security)
- Family allowance
- National Employment Fund
- Accident Insurance
- Life Insurance
- Work from Home Allowance
- Private Medical Insurance
- Birthday leave
- 10 paid learning days per year
- Bonusly 100 points per month to recognise colleagues
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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