Snowflake Platform Engineer

SCI SOLUTIONS GLOBAL; Wilmington (DE); Presencial; USD 120.000 - 180.000; Jornada completa

Descripción de la vacante

SCI Solutions Global in Wilmington, United States, is seeking an experienced Snowflake Platform Engineer with AWS data lake and Python data engineering expertise.

You will design, build, and operate scalable cloud data platforms, data pipelines, and migration solutions across Snowflake and AWS, with IaC using Terraform and CI/CD pipelines. Strong Snowflake, Cortex, Streamlit, and AWS services experience are required.

Formación

• 6+ years of hands-on software development and data engineering experience.
• Strong proficiency in Python, Shell scripting, and UNIX.
• Extensive experience with Snowflake, including performance tuning and data modeling.
• Experience with Snowflake Cortex and Streamlit.
• Hands-on experience with AWS data lake services: Lake Formation, Glue, Step Functions, and Lambda.
• Experience with Terraform for infrastructure as code across AWS and Snowflake environments.
• Data movement experience using AWS CLI, Python APIs, Spark, and Boto3.
• Familiarity with Athena, S3 Select, EMR, Redshift, S3, and EC2.
• Knowledge of workload scheduling tools; Control-M preferred.
• CI/CD experience with Bitbucket/Git and Jenkins.
• Familiarity with ServiceNow change management.
• Experience with monitoring and log tracing using CloudWatch and Splunk.

Responsabilidades

• Design, build, and maintain cloud-native data pipelines and services on AWS and Snowflake.
• Implement data lake architectures using AWS Lake Formation, Glue, Step Functions, and Lambda.
• Develop Python, Shell, and UNIX-based solutions for data ingestion, transformation, and orchestration.
• Create and manage infrastructure as code using Terraform for AWS and Snowflake resources.
• Optimize Snowflake performance and implement Snowflake Cortex features and Streamlit applications.
• Enable secure data movement using AWS CLI, Python APIs, Spark, and Boto3.
• Support analytics and compute services, including Athena, S3 Select, EMR, Redshift, S3, and EC2.
• Implement CI/CD pipelines using Bitbucket/Git and Jenkins, including approval workflows through ServiceNow.
• Monitor and troubleshoot applications using AWS CloudWatch, Splunk, logging, and tracing.
• Schedule and orchestrate workloads using Control-M or similar tools.

Conocimientos

Python

Shell scripting

UNIX

Data pipeline design

Cloud data platforms

CI/CD

Snowflake performance tuning

AWS

Terraform

Boto3

Spark

Herramientas

Snowflake

AWS Lake Formation

AWS Glue

AWS Step Functions

AWS Lambda

Terraform

AWS CLI

Boto3

Streamlit

Jenkins

Bitbucket

ServiceNow

CloudWatch

Splunk

Control-M

Redshift

EMR

S3

EC2

Athena

Descripción del empleo

Wilmington, United States | Posted on 10/27/2026

Work Authorization: US Citizen, Green Card, or GC EADpreferred
W2 Requirement- No C2C, 1099, or third-party profiles accepted.

Our Client is seeking an experienced Snowflake Platform Engineer with strong expertise in AWS data lake services, Snowflake, and Python-based data engineering. The ideal candidate will have experience designing, building, and operating scalable cloud data platforms, data pipelines, and migration solutions.

Key Responsibilities

Design, build, and maintain cloud-native data pipelines and services on AWS and Snowflake.

Implement data lake architectures using AWS Lake Formation, Glue, Step Functions, and Lambda.

Develop Python, Shell, and UNIX-based solutions for data ingestion, transformation, and orchestration.

Create and manage infrastructure as code using Terraform for AWS and Snowflake resources.

Optimize Snowflake performance and implement Snowflake Cortex features and Streamlit applications.

Enable secure data movement using AWS CLI, Python APIs, Spark, and Boto3.

Support analytics and compute services, including Athena, S3 Select, EMR, Redshift, S3, and EC2.

Implement CI/CD pipelines using Bitbucket/Git and Jenkins, including approval workflows through ServiceNow.

Monitor and troubleshoot applications using AWS CloudWatch, Splunk, logging, and tracing.

Schedule and orchestrate workloads using Control-M or similar tools.

Required Skills & Qualifications

6+ years of hands-on software development and data engineering experience.

Strong proficiency in Python, Shell scripting, and UNIX.

Extensive experience with Snowflake, including performance tuning and data modeling.

Experience with Snowflake Cortex and Streamlit.

Hands-on experience with AWS data lake services: Lake Formation, Glue, Step Functions, and Lambda.

Experience with Terraform for infrastructure as code across AWS and Snowflake environments.

Data movement experience using AWS CLI, Python APIs, Spark, and Boto3.

Familiarity with Athena, S3 Select, EMR, Redshift, S3, and EC2.

Knowledge of workload scheduling tools; Control-M preferred.

CI/CD experience with Bitbucket/Git and Jenkins.

Familiarity with ServiceNow change management.

Experience with monitoring and log tracing using CloudWatch and Splunk.

Preferred Qualifications

Knowledge of AI agentic workflows and MCP servers.

Familiarity with Databricks or other AI/ML platforms.

Experience delivering cloud data solutions in Agile teams.