Understanding of Google Cloud Function and Cloud Run
Preferred Experience :
CLTV modeling.
RFM analysis and customer segmentation.
Survival analysis and hazard modeling.
A / B testing and causal inference.
Feature engineering and selection.
Model validation and monitoring.
Cloud computing platforms (GCP / AWS / Azure).
Soft
Soft Skills :
Analytical & Problem-Solving : Strong analytical and problem-solving abilities.
Communication : Excellent communication and presentation skills.
Collaboration : Ability to work effectively in a team environment.
Organization : Strong organizational skills.
Qualifications :
Education : Bachelors degree in Computer Science, Information Systems, or a related field.
Experience :
3+ years of experience in data engineering, with a specific focus on Snowflake or other cloud-based data warehousing technologies.
Hands-on experience in building and managing Snowflake data warehouses.
Technical Skills :
Proficiency in Snowflake SQL and Snowflake features (Snowpipe, Data Sharing, etc.).
Strong SQL and experience in designing efficient data models.
Familiarity with ETL / ELT tools such as dbt, Apache Airflow, or Talend.
Working knowledge of Python or other scripting languages for automation.
Experience with cloud platforms like AWS, Azure, or GCP, particularly in data integration with Snowflake.
Knowledge of data governance, security best practices, and compliance requirements.
Preferred Skills :
Snowflake certifications, such as SnowPro Core.
Experience in additional analytics or BI tools like Tableau, Looker, or Power BI. Soft Skills :
Analytical thinker with strong problem-solving skills.
Clear communication and ability to work collaboratively with cross-functional teams.
Detail-oriented and committed to data accuracy and quality.
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Data Scientist • Hyderabad, Telangana, India
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