What are the responsibilities and job description for the Senior Data Engineer position at Slip Robotics?
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.
Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
- 5 years of professional experience in data engineering.
- Proven experience building production-grade data pipelines
- Strong expertise in designing and managing databases (especially PostgreSQL databases), including performance tuning and query optimization.
- Proficiency in programming languages like Python for ETL processes.
- Exposure to or experience with AWS Timestream and AWS DynamoDB storage technologies
- Familiarity with AWS services such as S3, Aurora, Lambda, Step Functions, Glue, and RDS.
- Exposure to one or more BI tools (Power BI, Tableau, Metabase) and an ability to adapt to a potential combination of tools.
- Solid grasp of data security best practices and their application in data pipeline development.
- Familiarity with data warehousing concepts, including star schema, data lakes, and data marts.
- Previous exposure to SOC 2 requirements and general compliance standards is a plus.
- Strong problem-solving skills and ability to collaborate effectively in a team-oriented environment.
- Excellect architecting skills
Preferred Qualifications:
- 8 years professional experience In database schema designing, developing database scripts, and general data pipeline architecting
- Basic understanding of Infrastructure-as-Code (IaC) concepts is a plus.
- Familiarity with containerization tools like Docker.
- Health Care Plan (Medical, Dental & Vision)
- Permissive Paid Time Off (Vacation, Sick & Public Holidays)
- Stock Option Plan
