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Database Architect
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As a seasoned PostgreSQL solutions architect, you will design and implement cutting-edge data warehouses and manage data lakes on AWS infrastructure.
Key Responsibilities- Design and Develop a Scalable PostgreSQL-Based Data Warehouse: Create high-performance, scalable data warehouses for analytics and reporting using advanced SQL and query optimization techniques.
- Develop Efficient Data Pipelines: Build robust batch and streaming pipelines for ingestion, transformation, and storage using Python or open-source frameworks.
- Architect and Maintain a Data Lake: Design and maintain a secure, scalable data lake on AWS infrastructure, optimizing queries, indexing, and schema design for performance and scalability.
- Collaborate with Cross-Functional Teams: Work closely with product, analytics, and engineering teams to deliver high-quality data solutions that meet business requirements.
- Translate Business Requirements into Scalable Data Models: Effectively translate business needs into actionable, scalable data models and pipelines.
- 3+ Years of Experience in Data Engineering or Data Platform Development: Proven expertise in designing, building, and maintaining large-scale data platforms.
- Advanced PostgreSQL Expertise: Proficiency in advanced SQL, query optimization, and schema design, as well as experience with ETL/ELT pipelines.
- Proficiency with AWS Services: Hands-on experience with Amazon Web Services (AWS) services, including S3, Lambda, and Redshift.
- Competitive Compensation and Benefits Package: Enjoy a comprehensive compensation package, including salary, bonuses, and benefits.
- Opportunities for Professional Growth: Stay ahead in your career with ongoing training, mentorship, and opportunities for advancement.
- Flexible Work Arrangements: Balance work and life with flexible scheduling options, including remote work possibilities.
