Job Title: Snowflake Data Engineer (AI-Enabled Data Platforms)
Experience: 3 to 8 Years
Location: Bangalore/Chennai
Employment Type: Full-Time

Job Summary
We are seeking a highly skilled Snowflake Data Engineer with strong 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 robust 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 data cleansing, enrichment, and ag

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