Nimble Gravity

Nimble Gravity

Nimble Gravity transforms challenges into growth opportunities for businesses using Data Science, Generative AI, and Digital technologies, propelling organizations forward with innovative solutions and impactful insights.

IT Services
51-250
Founded 2019

Description

  • Build, scale, and maintain robust data solutions.
  • Develop and optimize high-performance data pipelines for extraction, loading, transformation, and orchestration.
  • Design pipelines and systems for scalability, reliability, maintainability, and speed.
  • Champion modern engineering practices including CI/CD, infrastructure as code, containerization, and cloud-native deployments.
  • Collaborate with business stakeholders to turn use cases into production-ready services and solutions.
  • Own data systems from concept through production delivery.
  • Implement rigorous testing and monitoring to maintain data quality and integrity.

Requirements

  • Bachelor's degree or higher in a STEM field, required.
  • Concentration in Computer Science, Math, Physics, or another engineering-related field, preferred.
  • 5+ years of experience in data engineering or a related discipline.
  • Strong expertise in Python and SQL.
  • Proficiency with Databricks/PySpark and dbt for data warehousing and transformation.
  • Experience with workflow orchestration tools such as Airflow or Dagster.
  • Experience designing and implementing complex data systems from the ground up.
  • Experience handling large-scale data projects, including data cleaning, ETL, and information retrieval.
  • Experience with large language models, especially prompt engineering, RAG, and/or vector databases, is a plus.
  • Knowledge of machine learning fundamentals, feature engineering, and knowledge graphs is a plus.
  • Excellent verbal and written communication skills.

Interested in this position?

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