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Snowflake Data Engineer / AI

  • Source: Indeed
  • Mully Technology
  • Remote
  • India
  • Full-Time
  • Mid level

Job Description

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/AI 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: [email protected]

IMMEDIATE JOINERS ONLY

Pay: ₹600,000.00 - ₹1,200,000.00 per year

Benefits:

  • Provident Fund

Application Question(s):

  • Are you available to join immediately within 7 days ?
  • Current CTC
  • Expected CTC

Work Location: Remote

Skills

  • Snowflake
  • azure-databricks
  • databricks
  • Python

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