Company Overview:
At Slip Robotics, we're revolutionizing the logistics and automation industry with our state-of-the-art robotic solutions. Founded on the belief that technology can transform the way goods move through the world, we design and build autonomous systems that make warehouses smarter, supply chains more efficient, and workplaces safer. Our passionate team thrives on innovation, collaboration, and pushing the boundaries of what's possible in robotics. Join us, and be a part of shaping the future of automation.

Job Description:
We are seeking a talented Senior Data Engineer to help us build robust data pipelines that unify data from various tools into a centralized, user-friendly database. As a Senior Data Engineer, you will design, develop, and optimize data pipelines that provide timely and accurate data access across the organization. You will work collaboratively with cross-functional teams to identify data access needs, create aggregated tables for improved usability, and ensure seamless integration with business intelligence tools.

Key Responsibilities:

• Design, develop, and maintain scalable data pipelines to unify data from various company tools into a centralized PostgreSQL database.
• Collaborate with cross-functional teams to identify data access needs and create aggregate tables to improve data usability and reporting capabilities.
• Ensure seamless integration with BI tools such as Power BI, Tableau, Metabase, or a combination of these, enabling easy access to actionable insights.
• Optimize database schemas and queries for performance, scalability, and reliability.
• Implement robust data validation, monitoring, and alerting to ensure data quality and consistency.
• Incorporate data security best practices, including encryption, access controls, and audit logging, into pipeline development.
• Work with AWS services such as S3, Aurora, DynamoDB, Timestream, Lambda, or Glue to support pipeline development and data management.
• Stay updated on emerging trends in data engineering and business intelligence to propose innovative solutions.
• Document data pipelines, database schemas, and related processes to facilitate transparency and scalability.