Snowflake DBT

LTM; Mumbai; Hybrid; INR 1,400,000 - 2,400,000; Full time

Job summary

LTM Mumbai is seeking a data engineering professional to design and optimize cloud-based data pipelines using Snowflake and dbt. You will develop SQL queries, build data models, and implement ETL/ELT processes to support analytics across the organisation.

You will maintain dbt models, tests, and documentation, tune Snowflake warehouses, and collaborate with teams on data modelling and data warehousing strategies. Strong problem-solving and communication are essential.

Qualifications

• , Strong hands-on experience with Snowflake and dbt.
• - Develop and optimise SQL queries, data models, and ETL/ELT pipelines.
• - Build and maintain dbt models, tests, macros, and documentation.
• - Good understanding of Snowflake architecture, warehouses, schemas, and performance tuning.
• - Experience with data modelling, data warehousing, and dimensional modelling.
• - Knowledge of Git/CI-CD and cloud platforms such as AWS, Azure, or GCP.
• - Troubleshoot data-quality and performance issues.
• - Strong communication and problem-solving skills.

Responsibilities

• Build and optimize Snowflake-based data pipelines using dbt.
• Develop SQL queries, data models, and ETL/ELT processes for analytics.
• Create and maintain dbt models, tests, macros, and documentation.
• Tune Snowflake warehouses, schemas, and performance.
• Apply data modelling and dimensional modelling to warehousing projects.
• Collaborate with teams on data architecture and code deployment pipelines.
• Troubleshoot data quality and performance issues; communicate findings clearly.

Skills

Snowflake

dbt

SQL

Data modelling

Data warehousing

Git/CI-CD

Cloud platforms

Troubleshooting

Communication

Problem solving

Tools

Snowflake

dbt

SQL

Git/CI-CD

AWS

Azure

GCP

Job description

Key Responsibilities & Skills:

• Strong hands-on experience with Snowflake and dbt (Data Build Tool).
• Develop and optimise SQL queries, data models, and ETL/ELT pipelines.
• Build and maintain dbt models, tests, macros, and documentation.
• Good understanding of Snowflake architecture, warehouses, schemas, and performance tuning.
• Experience with data modelling, data warehousing, and dimensional modelling.
• Knowledge of Git/CI-CD and cloud platforms such as AWS, Azure, or GCP.
• Troubleshoot data-quality and performance issues.
• Strong communication and problem-solving skills.