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Snowflake Engineer

Exclusive opportunity

Hybrid

Snowflake Engineer

Kasmoprav

Snowflake Engineer

Skills

Google Cloud PlatformSQL QueriesData EngineeringPythonData ScienceSnowflakeDatabricksData AnalysisMachine LearningAWSdbtApache AirflowAzure

13 days ago

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Important information


Contract type:

Permanent, Temporary

Location:

Karnataka, India

Work mode:

Hybrid

Published on:

13 October 2026

What they need


Job Title: Data Science / Snowflake Engineer

Location: Bangalore, Karnataka (Hybrid)
Experience: 5–10 Years
Employment Type: Full-Time

Job Summary

We are looking for an experienced Data Science / Snowflake Engineer with strong hands-on expertise in Snowflake, SQL, and Python to design, develop, and optimize scalable data solutions. The ideal candidate will have experience in ETL/ELT pipeline development, data warehousing, data modeling, cloud platforms, and data analytics.

The candidate should be capable of transforming complex datasets into reliable, high-quality data assets while supporting analytical and machine learning initiatives.

Key Responsibilities

  • Design, develop, and maintain scalable ETL/ELT pipelines using Snowflake, SQL, and Python.
  • Build and optimize data warehouse solutions to support business intelligence, reporting, and analytics.
  • Develop efficient SQL queries, stored procedures, and data transformation workflows.
  • Design and implement data models to support analytical and business requirements.
  • Integrate data from multiple sources across cloud platforms and enterprise systems.
  • Perform data cleansing, validation, quality checks, and reconciliation to ensure data accuracy and consistency.
  • Optimize Snowflake queries, warehouse usage, and data processing performance.
  • Work with large datasets to support statistical analysis, data analytics, and machine learning use cases.
  • Collaborate with data scientists, data engineers, analysts, and business stakeholders.
  • Implement best practices for data security, governance, reliability, and pipeline monitoring.
  • Troubleshoot data pipeline issues and ensure the timely delivery of high-quality data.

Required Skills and Qualifications

  • 5–10 years of experience in data engineering, data science engineering, or related data-focused roles.
  • Strong hands-on experience with Snowflake, SQL, and Python.
  • Experience developing and maintaining ETL/ELT pipelines.
  • Strong understanding of data warehousing concepts, dimensional modeling, and data architecture.
  • Experience with data transformation, data validation, and performance optimization.
  • Knowledge of at least one cloud platform: AWS, Microsoft Azure, or Google Cloud Platform (GCP).
  • Experience with data integration from multiple sources.
  • Understanding of data analytics, statistical analysis, and machine learning concepts.
  • Strong analytical, problem-solving, and communication skills.

Good to Have

  • Snowflake certification.
  • Experience with Snowpark.
  • Knowledge of dbt for data transformation and modeling.
  • Experience with Apache Airflow for workflow orchestration.
  • Exposure to Databricks and modern data engineering platforms.

Preferred Candidate Profile

  • Strong technical problem-solving and debugging skills.
  • Ability to work independently and collaboratively in a hybrid work environment.
  • Good understanding of data engineering best practices and scalable data solutions.
  • Ability to translate business requirements into effective technical implementations.

Work Location

Bangalore, Karnataka — Hybrid Work Model

Interested candidates: Apply with your updated resume highlighting your relevant experience in Snowflake, SQL, Python, and data engineering.

Pay: ₹90,000.00 - ₹100,000.00 per month

Benefits:

  • Health insurance

Work Location: Hybrid remote in Bengaluru, Karnataka 560099

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