Snowflake DBT Developer

Relanto; Bengaluru; On-site; INR 2,500,000 - 4,200,000; Full time

Job summary

Relanto in Bengaluru seeks a Senior Data Engineer to architect and optimize data pipelines using dbt, Snowflake, and Airflow. You will implement robust ELT processes, tests, and deployment macros to support analytics across products.

The role requires strong Python programming, experience with Cortex AI and Claude for AI-assisted development, and hands-on work with modern data platforms on AWS/Azure. collaboration with cross-functional teams is essential.

Qualifications

• Must have hands-on dbt experience including models, tests, macros, and deployment.

Responsibilities

• Build and maintain robust data pipelines with dbt, Airflow, and Snowflake.

Skills

PySpark

Terraform

Azure/AWS data services

Product analytics concepts

semantic layers/metadata

data pipeline development

data transformation

validation

troubleshooting

Tools

dbt

Snowflake

Fivetran

Apache Airflow

Python

Cortex AI

Claude

Job description

• Strong hands-on experience with dbt, including models, transformations, testing, macros, and deployment.
• Strong Experience in dbt tool , preferably Core-to-dbt Cloud migration
• Strong experience with Snowflake and cloud data warehouse concepts.
• Hands-on experience with Fivetran or similar modern data ingestion/ELT platforms.
• Strong experience with Apache Airflow for data pipeline orchestration.
• Strong programming experience in Python.
• Experience in Cortex AI
• Experience with data pipeline development, data transformation, validation, and troubleshooting.
• Familiarity with AI-assisted development tools, particularly Claude and Snowflake AI capabilities.

Secondary Skills: (Preferred Qualifications)

• Hands-on experience with PySpark and distributed data processing.
• Experience with Terraform (i.e. Infrastructure as Code)
• Experience with cloud-based data platforms/services in Azure/AWS and data engineering ecosystems.
• Familiarity with Product Analytics concepts, metrics, KPIs, product usage analytics, customer journeys, funnels, retention, and behavioral analytics.
• Experience working with semantic layers, metadata, business metrics, or semantic agents.