
AI-Driven Data Architect
2 days ago
Our company is seeking an experienced and talented AI-Driven Data Architect to join our team. As a key member of our data engineering team, you will play a critical role in designing, building, and maintaining scalable data pipelines that support our GenAI workloads.
- Develop and maintain large-scale data pipelines using ETL tools like Apache Beam or PySpark.
- Collaborate with cross-functional teams to ensure seamless integration of data from multiple sources into cloud-native data lakes.
- Design and implement data validation and testing frameworks using Great Expectations or dbt.
- Work closely with ML Engineers to optimize data availability, traceability, and performance for inference and training pipelines.
- Implement efficient data processing and storage solutions using AWS S3, GCS, BigQuery, Snowflake, or PostgreSQL.
Required Skills and Qualifications:
- Bachelor's or Master's degree in Computer Science, Data Engineering, or related field.
- At least 3 years of experience in building distributed data pipelines and managing multi-source ingestion.
- Proficiency in Python, SQL, and data tools like Pandas, NumPy.
- Experience working with data orchestration tools (Airflow, Prefect), and file formats like Parquet, Avro, JSON.
- Hands-on experience with cloud storage/data warehouse systems (S3, GCS, BigQuery, Redshift).
- Understanding of GenAI and vector database ingestion pipelines is a strong plus.
Benefits:
- Competitive salary and benefits package.
- Opportunities for professional growth and development.
- Collaborative and dynamic work environment.
Others:
As a member of our team, you will have the opportunity to work on cutting-edge projects and contribute to the development of innovative data-driven solutions. If you are passionate about AI and data engineering, we encourage you to apply for this exciting opportunity
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