Senior Data Engineer

About RentSpree

RentSpree, the USA's leading home rental software, is among the fastest-growing property tech startups. Our award-winning software connects renters and landlords, revolutionizing the residential rental industry. With six years of annual growth, we've forged partnerships with 300+ top real estate companies, delivering high-quality data-driven insights and products

RentSpree is a place where you will grow alongside the company while collaborating within your team to have a meaningful impact on RentSpree’s future.

Ready to lead a team of talented data professionals? RentSpree is one of the fastest-growing property tech startups in the US. We provide award winning software service to over 300 real estate companies, with high-quality data-driven insights and products.

Join the pioneering Data Engineer team at RentSpree as a Senior Data Engineer! We need a skilled data pipeline builder and wrangler who relishes the challenge of optimizing and constructing data systems from the ground up.

If you're ready to tackle exciting projects that harness the power of our massive data stores, and you're passionate about building a solid foundation for our Data team, then we want you! Take the lead and bring your self-directed skills to RentSpree.

Responsibilities:

• Build and maintain data pipelines to meet business requirements
• Assist other teams in utilizing data to gain insights on key business metrics
• Collaborate with stakeholders to resolve data-related technical issues and support infrastructure needs
• Promote a data-driven culture within the organization
  

Our job descriptions evolve with our business needs and priorities. In addition to the description above, your role may include additional tasks, projects and team support as needed.

Skills and Qualifications:

• Thai national
• English Level: Working proficiency
• 5 + years of experience in data engineering and large-scale application design experience
• Experienced with PowerBI, Tableau, or other BI tools.
• Experienced with ETL, Data Warehouse, and Data modeling.
• Experienced with Google cloud services, Kubernetes, and container technologies.
• Advanced working SQL and NoSQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases including Postgres and MongoDB
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
• Experience with object-oriented/object function scripting languages: Python, Javascript, etc