Senior Data Engineer

• Establish and manage the data infrastructure by developing and maintaining the data platform, data pipelines, and the tools
• Develop software libraries that regulate the procurement, ingestion, and integration of outer data sources that are critical
• Collaborate with product engineering, data science teams, and own tools, processes, and controls to help the team grow
• Use demonstrable SQL and data modeling skills to build the data warehouse base layer and data models that will power the reporting dashboards
• Establish and maintain the company s data lake/data warehousing strategy
• Determine appropriate data architecture, implementing technical solutions, and meeting growing demands of the business
• Work with product and business analytics teams to ensure relevant business data and business metrics are available and accessible
• Create systems for product analytics and business performance reporting
• Understand the business intimately and model data that will be the source of truth for the company s business KPIs
• Outline and devise scalable platforms and processes for feature extraction, model training, and simulation
• Take responsibility for inbound requests and issue resolutions

Job Requirements:

• Bachelor s/Master s degree in Engineering, Computer Science (or equivalent experience)
• At least 5+ years of relevant experience working as a data engineer
• Prolific experience with Python and SQL
• Extensive data modeling and coding skills
• Solid understanding of data warehouse ideas and processes
• Proficiency in writing ETL jobs, performance tuning, and query optimization
• Experience with AWS cloud services and data warehouse stores like Redshift or Snowflake
• Strong communication and collaboration skills
• Ability to gather requirements and translate them to specs and design
• Prior experience working in the real estate or hospitality industry is desirable