Snowflake Data Engineer

Right Hire Mumbai; Mumbai, Bengaluru; Hybrid; INR 1,500,000 - 2,400,000; Full time

Job summary

RightHire Mumbai invites applications for a Snowflake Data Engineer to join a leading global technology consulting and digital transformation company. Location is Bangalore with hybrid working mode.

The role focuses on building data pipelines with DBT and SQL on Snowflake, optimizing queries, collaborating with analysts and business teams, and using Python for automation.

Qualifications

• 4+ years of experience building data engineering pipelines.
• Strong hands-on expertise with DBT and advanced SQL.
• Experience with modern columnar/MPP data warehouses, preferably Snowflake.

Responsibilities

• Develop, maintain, and optimize data pipelines using DBT and SQL on Snowflake DB.
• Collaborate with data analysts, QA and business teams to build scalable data models.
• Implement data transformations, testing, and documentation within the DBT framework.
• Work on Snowflake for data warehousing tasks, including data ingestion, query optimization, and performance tuning.
• Use Python (preferred) for automation, scripting, and additional data processing as needed.

Skills

SQL

Data modeling

ETL/ELT

Tools

DBT

Snowflake

Python

Job description

Dear Candidate,

Greetings from RightHire!!

Hiring for Snowflake Data Engineer leading global technology consulting and digital transformation company.

Location - Bangalore

Working Mode - Hybrid

We are looking for a strong Data Engineer having hands on experience in building pipelines using Snowflake and DBT.

Key Responsibilities:

• Develop, maintain, and optimize data pipelines using DBT and SQL on Snowflake DB.
• Collaborate with data analysts, QA and business teams to build scalable data models.
• Implement data transformations, testing, and documentation within the DBT framework.
• Work on Snowflake for data warehousing tasks, including data ingestion, query optimization, and performance tuning.
• Use Python (preferred) for automation, scripting, and additional data processing as needed.

Required Skills:

• 4+ years of experience in building data engineering pipelines.
• Strong hands-on expertise with DBT and advanced SQL.
• Experience working with modern columnar/MPP data warehouses, preferably Snowflake.
• Knowledge of Python for data manipulation and workflow automation (preferred).
• Good understanding of data modeling concepts, ETL/ELT processes, and best practice