913 - Data Engineer
hace 6 días
Job Opportunity only available for professionals located in
Buenos Aires, Argentina.
Our client is an
AI-powered career narrative platform
that connects talent with job opportunities through intelligent matching algorithms. They bring back humanity and personal touch to the future of professional networking by leveraging machine learning, big data, and modern web technologies.
You'll architect robust data pipelines that process millions of player and job signal records, ensuring data quality and reliability across our platform. This role spans both Data Engineering and infrastructure work on
GCP
.
Requirements:
- Advanced English level for fluent communication.
- 6+ years of experience in the IT industry.
- 5+ years of experience in Data Engineering with expert-level SQL and query optimization.
- Strong Python programming skills with production experience in Apache Airflow.
- Proven track record of building scalable data pipelines on Cloud platforms (GCP strongly preferred).
- Deep understanding of data warehousing concepts and dimensional modeling.
Responsibilities:
- Design and architect scalable data pipelines for multi-source data ingestion (5x5, PDL, Wagescape, etc.).
- Build and optimize complex Airflow DAGs for data orchestration in Cloud Composer.
- Implement data validation and schema evolution strategies across bronze/silver/golden layers.
- Build vector indexing pipelines for ML embeddings.
- Mentor junior engineers on data engineering best practices.
Preferred Qualifications:
- Deep experience with Google BigQuery and Cloud Composer.
- Experience with Vector Databases and ML embeddings.
- Knowledge of data streaming technologies (Kafka, Pub/Sub).
- Familiarity with DBT or similar transformation frameworks.
- Experience with Terraform or infrastructure as code.
What do we offer?
- Remote work, though theres the possibility to be a week per month in the Buenos Aires office.
- Competitive salary in USD.
- Type of contract: Independent Contractor with Venon Solutions LLC.
- Contract duration: Long-term.
- 2 weeks of PTO (paid time off).
- Holidays: from the Client's calendar (USA)
- Working hours: Full-time EST timezone, fully committed.
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