Snowflake Data Engineer

Snowflake Data Engineer
Location: Remote – India
Experience: 3–5 Years
Employment Type: Full-Time
Compensation: Up to ₹12 LPA
Joining: Immediate Joiners Only
Role Overview
We are looking for a strong Snowflake Data Engineer with 3–5 years of relevant experience and hands-on expertise in Python, Snowflake, Databricks, data pipelines, and data reconciliation.
The ideal candidate should be comfortable working with large datasets, understanding business requirements, building reliable data pipelines, and supporting AI/data-driven business solutions.
Experience in the E-Commerce / Marketplace domain is highly preferred.
Key Responsibilities
Design, develop, and maintain scalable data pipelines.
Work extensively with Snowflake and Databricks for data processing and analytics.
Develop data ingestion, transformation, and integration workflows.
Perform data reconciliation, validation, and quality checks.
Use Python for data processing, automation, and engineering tasks.
Understand business requirements and translate them into reliable data solutions.
Work with structured and semi-structured datasets.
Troubleshoot data pipeline failures and performance issues.
Optimize data processing workflows for scalability and performance.
Support AI/ML initiatives by preparing, transforming, and making data available for downstream applications.
Collaborate with data scientists, AI engineers, analysts, and business stakeholders.
Required Skills
3–5 years of relevant experience in Data Engineering, AI Engineering, or related roles.
Strong hands-on Python experience.
Strong experience with Snowflake.
Hands-on experience with Databricks.
Strong understanding of data engineering and data pipelines.
Experience with data reconciliation and data validation.
Experience with ETL/ELT processes.
Strong SQL skills.
Ability to understand business requirements and translate them into technical data solutions.
Experience working with production data environments.
Preferred
E-Commerce / Marketplace domain experience.
Experience with cloud data platforms.
Experience supporting AI/ML workloads.
Experience with orchestration tools.
Experience handling large-scale datasets.
Understanding of data quality and governance practices.
Ideal Candidate
A hands-on Data/AI Engineer who can work across Python, Snowflake, Databricks, pipelines, and data quality, while understanding business requirements and delivering reliable production data solutions.
📩 Interested candidates can share their updated resume at: jegan@mullytech.in
⚠️ IMMEDIATE JOINERS ONLY

Work arrangement
Yes