Senior Snowflake Engineer

GrowthArc; India; Hybrid; INR 2,500,000 - 5,000,000; Full time

Job summary

GrowthArc is seeking an experienced Snowflake Data Engineer to design, develop, and optimize cloud‑based data solutions using Snowflake, DBT, and SQL. The role emphasizes scalable data pipelines and analytics across the organization.

The ideal candidate will have 6+ years in data engineering, strong Snowflake skills, and certification, with the ability to work in a hybrid model between Bangalore and remote teams. Immediate joiners preferred.

Qualifications

• 6+ years of data engineering or cloud data warehousing experience.
• Hands-on Snowflake experience and DBT proficiency.
• SnowPro Core certification is mandatory.
• Strong SQL development, data governance, and security practices.

Responsibilities

• Design, develop, and optimize Snowflake data warehouse objects.
• Build and maintain ETL/ELT pipelines with Snowpipe, Streams, Tasks, and procedures.
• Develop, test, and deploy DBT models; write tests and documentation.
• Write efficient SQL queries and perform query tuning.
• Collaborate with analysts and business teams; ensure governance and CI/CD.

Skills

Snowflake

DBT

SQL

Cloud platforms

ETL/ELT design

Git CI/CD

Data modeling

Tools

Airflow

Job description

Location: Bangalore (Hybrid)/Remote(Rest of India)

Key Requirements:

• 6–12 years of relevant Data Engineering experience.
• Strong hands-on expertise in Snowflake and dbt.
• SnowPro Core certification is mandatory.
• Strong debugging, problem-solving, and analytical skills.
• Excellent communication and articulation skills.
• Highly committed, responsive, and collaborative.
• Ability to independently troubleshoot and resolve technical challenges.

Preferred: Candidates who can join immediately or within 15 days.

Role Overview

We are looking for an experienced Snowflake Data Engineer with strong expertise in DBT and SQL, and optional exposure to Cortex as an added advantage. The ideal candidate will design, develop, and optimize scalable cloud‑based data solutions, enabling analytics and business insights across the organization.

Key Responsibilities

Snowflake Development

• Design, develop, and maintain Snowflake data warehouse objects including schemas, tables, stages, and warehouses.
• Build and optimize ETL/ELT pipelines using Snowflake features such as Snowpipe, Streams, Tasks, and Stored Procedures.

DBT (Data Build Tool)

• Develop, test, and deploy transformation models using DBT.
• Build DBT tests, documentation, and snapshots following best practices.
• Maintain modular, version‑controlled transformations.

SQL Development

• Write efficient and complex SQL queries for transformations, analytics, and validation.
• Perform SQL tuning for speed, reliability, and cost optimization.

General Responsibilities

• Collaborate with analysts, data engineers, and business teams to deliver high‑quality data solutions.
• Troubleshoot pipeline and performance issues.
• Ensure data governance, security standards, and documentation.
• Participate in code reviews and follow DevOps best practices.

Required Skills & Experience

• 6+ years of experience in data engineering or cloud data warehousing.
• Strong hands-on experience with Snowflake.
• Solid proficiency in DBT including testing, lineage, and model deployment.
• Advanced SQL development skills.
• Experience with at least one major cloud platform: AWS, Azure, or GCP.
• Strong understanding of ETL/ELT, data modeling, and pipeline design.
• Experience with Git‑based version control and CI/CD workflows.

Mandatory

Nice to Have

• Cortex experience (analytics acceleration, AI/ML‑assisted workflows, advanced transformation capabilities).
• Python or other scripting language knowledge.
• Experience with orchestration tools: Airflow, Prefect, Dagster, or similar.

Soft Skills

• Excellent problem‑solving and analytical abilities.
• Strong communication and collaboration skills.
• Ability to work independently and in cross‑functional teams.