Technology, Information And Internet
Dallas, TX Apply Now Practice Interview
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Senior Data Lake Engineer at PETADATA
Description
Position: Senior Data Lake Engineer Location: Dallas, TX(Remote) Work Type: C2C Experience: 15+ Years PETADATA is seeking a seasoned Senior Data Lake Engineer with over 15 years of experience in data engineering and a strong focus on building and managing AWS-native Data Lake solutions.
The ideal candidate will have deep expertise with AWS Lake Formation, serverless data processing using Lambda and Python, and experience with AI-assisted development tools such as Amazon Q.
This role requires strong hands-on skills in AWS Glue, DynamoDB, and building secure, scalable, and automated data platforms that support advanced analytics and machine learning use cases.
Roles & Responsibilities Data Lake Architecture: Design, build, and optimize scalable, secure data lakes using AWS Lake Formation and best practices for data governance, cataloging, and access control.
Serverless Development: Build and deploy AWS Lambda functions using Python for real-time data processing, automation, and event-driven workflows.
ETL / ELT Pipelines: Develop and maintain robust data pipelines using AWS Glue, integrating data from various structured and unstructured sources.
AI Tools for Development: Leverage AI-powered coding tools (such as Amazon Q, GitHub Copilot, or similar) to increase development speed, code quality, and automation.
Database Integration: Design and implement integrations between the Data Lake and DynamoDB, optimizing for performance, scale, and consistency.
- Role: Senior Data Lake Engineer
- Company: PETADATA
- Location: Dallas, TX
- Job found on: 7th of September, 2025
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* This job might be expired as it was posted more than a month ago.
