Required Technical Skills
-Data Platform
* Strong expertise in
o Snowflake
* Deep knowledge of Snowflake architecture, performance tuning, data sharing, security, and workload optimization.
Cloud Platform
-Strong experience with Amazon Web Services, including:
* S3
* IAM
* AWS Glue
* Lambda
* CloudWatch
-Data Transformation
* Strong experience with
o DBT
for enterprise-scale data modelling, testing, and transformation pipelines.
-Programming / Query
* Strong expertise in SQL for data transformation and performance optimization
* Python (preferred) for automation and data engineering tasks.
-Data Engineering
* Enterprise ETL / ELT pipeline architecture
* Data warehousing and enterprise data modelling
* Dimensional modelling (Star Schema, Snowflake Schema)
* Data pipeline scalability and reliability design.
-AI / Data Science Exposure
* Experience supporting AI/ML data pipelines and data preparation for machine learning models.
* Understanding of predictive analytics, recommendation engines, and customer behaviour analytics.
* Ability to design AI-ready data platforms for future analytics use cases.
-Preferred Skills
* Experience with Apache Airflow for pipeline orchestration.
* Knowledge of CI/CD pipelines, DevOps, and Git-based development workflows.
* Experience with data governance, metadata management, and enterprise data catalog tools.
* Experience with BI tools such as
o Tableau
o Microsoft Power BI.
* Domain experience in hospitality, travel, or hotel systems, including reservation systems, guest analytics, and operational reporting.