Remote Snowflake Data Engineer: ETL & Cloud Pipelines

NMK Global Inc.

United States

Remote

USD 120,000 - 160,000

Full time

7 days ago
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Job summary

NMK Global Inc. is seeking a Snowflake Data Engineer to design, build, and optimize data pipelines in a remote working setup. The role emphasizes Snowflake expertise, SQL proficiency, and Python/PySpark for data processing within cloud environments.

You will handle large healthcare datasets, implement ETL/ELT processes, and collaborate with business analysts and data teams to deliver scalable data solutions across platforms such as Snowflake, Informatica, and Azure Data Factory.

Qualifications

  • 8 years of experience in Data Engineering.
  • Strong Snowflake experience.
  • Advanced SQL.
  • Python/PySpark.
  • ETL/ELT development.
  • Cloud experience — Azure/AWS/Google Cloud Platform.
  • Data warehousing and data modeling.
  • Strong communication and problem-solving skills.

Responsibilities

  • Design, develop, and maintain data pipelines using Snowflake.
  • Develop complex SQL queries, stored procedures, and data transformations.
  • Build and maintain ETL/ELT pipelines using Informatica, Azure Data Factory, or similar.
  • Use Python/PySpark for data processing and automation.
  • Perform data validation, quality checks, and troubleshooting.
  • Work with large healthcare datasets and integrate data from multiple sources.
  • Optimize Snowflake queries and data models for performance.
  • Collaborate with business analysts, developers, and data teams.

Skills

Snowflake
SQL
Python/PySpark
ETL/ELT
Cloud Platforms
Data Warehousing
Data Modeling
Communication/Problem-solving

Tools

Informatica
Azure Data Factory
Snowflake
PySpark

Job description

NMK Global Inc. is seeking a Snowflake Data Engineer to design, build, and optimize data pipelines in a remote working setup. The role emphasizes Snowflake expertise, SQL proficiency, and Python/PySpark for data processing within cloud environments.

You will handle large healthcare datasets, implement ETL/ELT processes, and collaborate with business analysts and data teams to deliver scalable data solutions across platforms such as Snowflake, Informatica, and Azure Data Factory.

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