Role: Data Engineer (Snowflake / DBT / Python / PySpark)

Experience: 8-12 years in data engineering / cloud data warehousing

Location: Bangalore, India (Hybrid / Onsite as required)

Employment Type: Full-time

Notice Period: Immediate to 30 days preferred

About the Role

We are looking for a hands-on Data Engineer with solid 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 an

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