Job Title: Snowflake Data Engineer (AI-Enabled Data Platforms)
Experience: 5 to 8 Years
Location: Bangalore/Chennai
Employment Type: Full-Time

Job Summary
We are seeking a highly skilled Snowflake Data Engineer with robust expertise in Snowflake, Python, PySpark, DBT, and ETL/ELT development. The ideal candidate will be responsible for designing, building, and optimizing scalable data pipelines, transforming data for analytics and AI use cases, and supporting modern cloud-based data platforms.
The candidate should have a strong understanding of data engineering best practices, data warehousing concepts, performance optimization, and exposure to AI/ML-driven solutions.

Key Responsibilities
Data Engineering & Development
- Design, develop, and maintain scalable ETL/ELT pipelines using Snowflake, Python, PySpark, and DBT.
- Develop robust data ingestion frameworks for structured, semi-structured, and unstructured data.
- Build and optimize data transformation workflows to support reporting, analytics, and AI initiatives.
- Create reusable and efficient data models within Snowflake.





Snowflake Data Platform
- Design and implement Snowflake architectures and data warehouse solutions.
- Develop Snowflake objects including databases, schemas, tables, views, streams, tasks, and stored procedures.
- Implement performance tuning strategies to optimize query execution and warehouse utilization.
- Manage data loading using Snowpipe, external stages, and cloud storage integrations.

DBT Development
- Develop and maintain DBT models, macros, tests, and documentation.
- Implement data quality and validation checks using DBT.
- Build scalable ELT frameworks aligned with industry best practices.
- Create and maintain DBT lineage and transformation documentation.

Python & PySpark
- Develop data processing frameworks using Python and PySpark.
- Build scalable data transformation and validation processes.
- Handle large-volume data processing in distributed environments.
- Implement

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