Role: Data Engineer (Snowflake / DBT / Python / PySpark)
Experience: 8-12 years in data engineering / cloud data warehousing
Location: Bangalore, India (Hybrid / Onsite as required)

About the Role
We are looking for a hands-on Data Engineer with robust expertise in Snowflake, DBT, Python, and PySpark to design, build, and optimize scalable ELT data pipelines and cloud-based analytics platforms. You will work with enterprise clients across domains such as healthcare, manufacturing, and retail, delivering high-performance data integration, transformation, and analytics solutions on AWS.

About organisation:
We are an Indian IT services and consulting firm based in Bengaluru. Founded in 2024, the company delivers digital transformation solutions to global B2B clients.

Core Capabilities
Artificial Intelligence: Building AI/ML models and automated chatbots.
Data & Cloud: Managing data engineering and cloud migrations.
Automation: Implementing Robotic Process Automation (RPA) workflows.
Core Focus: Specialises in AI/ML solutions, cloud platforms, data engineering, and automation.




Target Market: Modernises operations primarily for business-to-business (B2B) clients globally.
Footprint: Operates from India but serves customers across the US and UAE.

Key Responsibilities
•Design and implement end-to-end ELT data pipelines using Snowflake and DBT for enterprise analytics workloads.
•Develop modular, well-tested DBT models (staging, intermediate, marts) with incremental loading strategies, snapshots, and SCD Type-2 logic for historical dimensions.
•Build and maintain large-scale distributed data processing jobs using PySpark for batch and near real-time transformation workloads.
•Write production-grade Python code for data validation, reconciliation, automation, and orchestration of pipeline workflows.
•Automate cloud data ingestion using AWS S3, Snowpipe, Streams and Tasks for incremental and near real-time processing.
•Design fact and dimension tables following star and s

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