Nimble Gravity - Senior Data Engineer
Upload My Resume
Drop here or click to browse · Tap to choose · PDF, DOCX, DOC, RTF, TXT
Requirements
• Education & Certificates • A bachelor's degree or higher in a STEM field, required • Concentration in Computer Science, Math, Physics or other engineering related field, preferred • 5+ years of experience in data engineering or a related discipline, with a proven track record of success. • Competencies & Attributes • Expertise in Python and SQL, with a strong foundation in data manipulation and analysis. • Proficient with Databricks/PySpark and dbt for data warehousing and data transformation tasks. • Experience with workflow orchestration tools e.g. Airflow, Dagster • Experience working with large language models (LLMs) especially prompt engineering, retrieval-augmented generation (RAG)s, and/or vector databases are pluses. • Knowledge of fundamental principles of machine learning, feature engineering, and knowledge graphs are pluses. • Demonstrated experience in designing and implementing complex data systems from the ground up. • Proficient in handling large-scale data projects, including data cleaning, ETL, and information retrieval. • Excellent communication skills required, both verbal and written.
Responsibilities
• Build, scale, and maintain robust data solutions. • Implement and optimize high-performance data pipelines: extraction, loading, transformation, and orchestration – that are designed for scalability, reliability, maintainability, and speed. • Champion modern software engineering practices as CI/CD, infrastructure-as-code, containerization, and cloud-native deployments • Collaborate closely with business stakeholders to transform use cases into production-ready services and solutions, owning the system from concept to production. • Implement rigorous testing and monitoring practices to maintain superior data quality and integrity.
No credit card. Takes 10 seconds.