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Job Description
Structured overview of role & requirementsAbout This Role
Design, build, and operate data platforms powering GenAI applications, including batch and streaming data pipelines.
Administer databases and system operations ensuring platform reliability, performance, and security.
Deliver clean, governed multi-source data for AI workloads including embeddings and vector data integration.
Minimum Requirements
5-8 years of professional experience in data engineering, platform engineering, or analytics engineering.
Strong SQL skills with hands-on database and query performance optimization (OLTP and OLAP).
Proficiency in Python, Spark/PySpark, ETL/ELT, Kafka streaming, database administration, Linux systems administration, and workflow orchestration (e.g., Apache Airflow).
Bachelor's degree in Computer Science or related field (or equivalent experience).
Ideal Candidate Profile
Experienced individual contributor comfortable with both data engineering and system/database administration tasks at a platform scale.
Capable of managing complex data integration for AI workloads including experience with vector databases like Milvus, Qdrant, or PGVector.
Benefit from familiarity with cloud-agnostic environments and hybrid work settings.