Expert Data Architect

2 weeks ago


moradabad, India beBeeData Full time

Job Description:We're seeking a seasoned Data Engineer to architect, build, and own data pipelines that power large language model development.The ideal candidate will be the team's expert on data ingestion, processing, and quality for all AI training.Key Responsibilities:Design, develop, and own robust, scalable, and automated ETL/ELT pipelines in Python for ingesting and processing terabyte-scale text datasets.Implement rigorous data cleaning, deduplication, filtering, and normalization strategies.Define and enforce data quality standards to ensure the highest integrity for model training.Efficiently structure and format diverse datasets (JSON, Parquet, etc.) for consumption by LLM training frameworks.Work closely with our team of AI researchers and ML engineers to understand data requirements, define metrics, and support the model training lifecycle.Continuously optimize data processing workflows for speed, cost, and reliability.Occasionally assist in launching, monitoring, and debugging data-related issues during model training runs.Requirements:8+ years of professional experience in data engineering, data processing, or backend software engineering.Expert-level proficiency in Python and its data ecosystem (e.g., Pandas, NumPy, Dask, Polars).Proven experience building and maintaining large-scale data pipelines.Deep understanding of data structures, data modeling, and software engineering best practices (Git, CI/CD, testing).Experience handling and parsing diverse data formats (JSON, CSV, XML, Parquet) at scale.Excellent problem-solving skills and a meticulous attention to detail.Strong communication and collaboration skills, with experience working in a team environment.Benefits:Opportunity to lead cutting-edge AI and ML projects.Collaborative and innovative team culture.



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