Data Engineer (Databricks + PySpark + AI)
Key Skills
Job Description
Please find the below details We are looking for a senior Data Engineer (8+ years) with strong expertise in Databricks, PySpark, Python, and modern data engineering practices, along with practical experience leveraging AI/GenAI capabilities for data processing, analytics, and automation. The candidate should be skilled in designing and building large-scale data pipelines, ETL/ELT frameworks, data lakes, and cloud-based data platforms. Experience with AI-assisted data engineering, machine learning integration, data governance, optimization, and performance tuning is highly preferred. Strong analytical and problem-solving skills in enterprise data environments are essential.
Core Responsibilities
Design and build large-scale data pipelines, ETL/ELT frameworks, and cloud-based data platforms. Leverage AI and GenAI capabilities for data processing, analytics, and automation within enterprise environments.
Requirements
Requires a senior data engineer with over 8 years of experience and strong expertise in Databricks, PySpark, and Python. Candidates should have practical experience in AI-assisted data engineering and performance optimization.
About Rezolve Ai
Industry: Technology, Information and Internet
Company size: 51-200 employees
Rezolve Ai revolutionizes how customers discover, engage and shop online. Our unique suite of Generative AI solutions, braincommerce, braincheckout and brainassistant are purpose built for retail and ecommerce. Our proprietary LLM is immune to model drift and hallucinations, ensuring businesses are able to provide a trusted service that is secure and personalized to their needs. Learn more about how we can help your company transform the customer experience with BRAiN Conversational AI.