Data Engineer

About the company

Treebo Hospitality Ventures is India’s most loved brand and one of the largest chains in the budget segment of hospitality. With a network of 850+ hotels across 120+ cities, Treebo offers travellers the unprecedented value proposition of high-quality stays at affordable prices wherever they go. We are proud of putting dignity backinto budget travel where earlier the traveller was forced to contend with poor quality and hygiene. Treebo Hospitality Ventures masterfully combines engineering prowess with deep hospitality expertise. Our operational ethos is clear and focused from Treebo Club, an innovative distribution platform and extremely rewarding loyalty programme to Hotel Superhero, a cutting-edge SaaS solution and a comprehensive hotel

management software. With a strong technological foundation and a passion for hospitality, THV aims to deliver exceptional experiences across our diverse portfolio. Our range of brands—Itsy Hotels, Treebo, Treebo Premium and Medalio—provides a symphony of choices that blend quality, comfort and affordability. Treebo is a Great Places to Work certified organisation. We take immense pride in our culture which is built on

a strong foundation of 7 values. Some of these values include - “Exhibit Owner Mindset” and “Have the humility and hunger to learn and help learn”, amongst others. We strongly believe in offering our people -“Treebs”, as they are called - unmatched opportunities to learn and grow. If you’re looking to work at a place that is built on strong fundamentals of business and professional conduct, Treebo is the place for you.

Key Responsibilitie

• s
  Engage with stakeholders to gather and translate business requirements into scalable data solution
• s.Build and maintain automated data pipelines for ingestion, transformation, and augmentatio
• n.Troubleshoot and resolve data quality issue
• s.Work closely with QA teams for data validation and integratio
• n.Maintain comprehensive documentation of data models and transformation logi

c.
What we are looking f

• or
  2–6 years' experience in data engineering (NOT data analyti
• cs).Strong SQL expertise and experience in dimensional data model
• ing.Proficiency in ETL tools like Pent
• aho.Programming knowledge in Java or Pyt
• hon.Hands-on experience with AWS, Redshift/Vertica, and Li
• nux.Experience with complex dashboard creat

ion.
Good to

• Have:
  Familiarity with Airflow, Metabase, and performance t
• uning.Experience in fast-paced startup environ
• ments.Strong analytical mindset and sense of owne