AI Data Engineer
VBeyond
Role: AI Data Engineer
Type: Contract
Location: Remote
AI skilled data engineer who designs, builds, and maintains scalable data pipelines, architectures, and systems (data lakes/warehouses/rules registry) to collect, store, and process raw data for analytical, AI, and machine learning use. He/she would model, extract the rules from different data sources such as code base, SQL or PL/SQL, pdf, excel documents etc. and create a knowledge graph / GraphRag. He/she ensure data quality, security, and accessibility, using tools like SQL, Python, and big data technologies (Spark/Kafka) to optimize data performance. Key Responsibilities: * Pipeline Development: Design, build, and maintain robust ETL/ELT pipelines for batch and real-time data ingestion.
* Data Extraction/Mapping: Rules extraction using tools such as AWS Bedrock Data Automation (BDA) or Neo4j etc.
* Collaboration: Work with business analysts to understand data needs and build tools that provide insights. Skills:
* Programming Languages: Proficiency in Python, Java, or Scala.
* Database Systems: Strong SQL knowledge and experience with database management (e.g., PostgreSQL, MySQL).
* Data Modeling: Understanding of data warehouse design and data modeling techniques.
* AWS AI Technologies: Knowledge in AWS Bedrock, SageMaker would be added plus
Vacancy posted 3 days ago
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