Senior Data Architect
1 day ago
Job Overview
">We are seeking a highly skilled Data Engineer to join our team. As a Data Engineer, you will play a key role in designing, building, and maintaining large-scale data processing systems.
">Key Responsibilities
">- ">
- Data Pipeline Development: Design and develop efficient data pipelines using Palantir Foundry to integrate data from various sources.">
- Distributed Computing: Utilize PySpark for large-scale data processing and ensure seamless execution of tasks.">
- Database Management: Manage MySQL databases, perform queries, and ensure data integrity.">
- Data Integration: Integrate data from different systems, transform it, and build usable applications.">
- Cloud Deployment: Deploy and manage applications in cloud environments (AWS, Azure, or GCP).">
- AWS Configuration Management with Terraform">
- Agile Methodologies: Work comfortably in Agile sprints, utilizing tools like Jira/Trello for tracking work.">
- Performance Optimization: Troubleshoot and optimize application performance to ensure efficiency.">
About Us
">We are committed to fostering a culture of innovation and collaboration. Our team is dedicated to delivering exceptional results and pushing the boundaries of what is possible.
">Requirements
">To be successful in this role, you will need:
">- ">
- At least 5 years of hands-on experience with Palantir Foundry.">
- Experience with PySpark for distributed computing.">
- Strong understanding of MySQL database management.">
- Familiarity with cloud deployment platforms (AWS, Azure, or GCP).">
- Ability to work effectively in Agile methodologies.">
- Excellent problem-solving skills and attention to detail.">
- Strong communication and teamwork skills.">
What We Offer
">We offer a competitive salary, comprehensive benefits package, and opportunities for professional growth and development.
">Contact Information
">Please submit your resume and cover letter to apply for this position.
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