Snowflake Platform Engineer

Job Title: Snowflake Platform Engineer

Location: Wilmington DE

Work Authorization: US Citizen Green Card or GC EAD preferred
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.
  

Required Skills:

Job Title: Snowflake Platform Engineer Location: Wilmington DE Work Authorization: US Citizen Green Card or GC EAD preferred W2 Requirement- No C2C 1099 or third-party profiles accepted. Job Description Our Client is seeking a Snowflake Platform Engineer to join our dynamic team. The ideal candidate will have strong experience in AWS data lake services Snowflake and Python-based data engineering and a proven ability to design build and operate scalable cloud data platforms and migration pipelines. Responsibilities: Design build and maintain cloud-native data pipelines and services on AWS and Snowflake. Implement data lake architectures using 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 with Terraform for AWS and Snowflake resources. Optimize Snowflake performance and implement features including Snowflake Cortex and Streamlit apps. Enable data movement using AWS CLI Python APIs Spark and Boto3 with secure governance. Support analytics services including Athena S3 Select EMR and Redshift as needed. Implement CI/CD pipelines using Bitbucket/Git and Jenkins with approvals in ServiceNow. Monitor and troubleshoot using AWS CloudWatch and Splunk with effective logging and tracing. Schedule and orchestrate workloads with Control-M or similar tools. Required Skills & Qualifications: At least 6 years of hands-on software development and data engineering experience. Proficiency in Python Shell scripting and UNIX. Strong experience with Snowflake including performance tuning and data modeling. Snowflake Cortex and Streamlit experience. Hands-on with AWS data lake services: Lake Formation Glue Step Functions and Lambda. Experience with Terraform for infrastructure as code in AWS and Snowflake ecosystems. Data movement expertise using AWS CLI Python API Spark and Python Boto3. Familiarity with analytics and compute services: Athena S3 Select EMR Redshift S3 and EC2. Knowledge of scheduling tools with Control-M preferred. CI/CD experience with Bitbucket/Git and Jenkins and change management via ServiceNow. Monitoring and log tracing using AWS CloudWatch and Splunk. Preferred Skills: Knowledge on AI agentic workflows MCP servers or AI/ML platforms such as Databricks. Prior work in Agile teams delivering cloud data solutions.