- Engage with stakeholders to gather requirements to deliver data solutions.
- Implement data pipelines to automate the ingestion, transformation, and augmentation of data sources, and provide best practices for pipeline operations.
- Troubleshoot and remediate data quality issues raised by pipeline alerts or downstream consumers.
- Work with upstream QA teams on integrating data validation tests. Evaluate new releases from data quality perspective.
- Provide advice and ideas for technical solutions and improvements to data systems.
- Create and maintain clear documentation on data models/schemas as well as transformation/validation rules.

Requirements :

- 3-6 years experience in Data Engineer role that involves dimension modeling and SQL-based (expert level) data transformation and analytics.
- Exposure to cloud (AWS) big data technologies
- Hands-on experience with all aspects of designing, developing,



testing and implementing ETL solutions (Pentaho).
- Fluent in programming languages like Java/Python.
- Comfortable working in Linux environment.
- Experience building complex reporting dashboards.
- Past experience working with large scale columnar data stores (Redshift/Vertica).

Good to have:

- Experience with Metabase.
- Take responsibility for performance tuning.
- Ability to develop and organize high-quality documentation.
- Superior analytical skills and a strong sense of ownership in your work.
- Exposure to cloud big data technologies.
- Ability to thrive in a fast-paced start-up setting, and to manage multiple, competing priorities simultaneously.
- Knowledge in orchestration tools like Airflow

📌 Data Science Engineer (Bengaluru)
🏢 Treebo Hotels
📍 Bengaluru