Data & Cloud Services Engineer

Sci Solutions Global

Plano, TX, United States

2 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

6 years minimum

Working hours

Regular working hours

Job source

www.thejobnetwork.com

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Amazon Elastic Compute Cloud Amazon S3 Data Analysis Cloud Computing Cloud Database Continuous Integration Extract Transform Load (ETL) Python (Programming Language)

+23 more

Software Tools Aws Command Line Interface (CLI) GitHub Copilot Snowflake Apache Spark State Machines Boto3 Git Infrastructure Automation Frameworks AWS Lake Formation AWS Glue AWS Data Analytics Bitbucket Claude Functional Programming Cloudwatch Terraform Splunk Data Pipelines Jenkins Servicenow Databricks Control M

Job description

Our Client is seeking Data & Cloud Services Engineer with hands-on experience building and supporting AWS data lake solutions, Snowflake platforms, and Python-based data pipelines. Candidates should have experience with infrastructure automation, CI/CD, and AI-assisted engineering tools.

Requirements

6+ years of cloud data engineering experience
AWS Glue, S3, Lambda, Step Functions, and Lake Formation
Snowflake
Python
Terraform / Infrastructure as Code
CI/CD pipelines and AWS deployments
Familiarity with AI-assisted tools such as GitHub Copilot, Claude, or agentic workflows
Use AI-assisted engineering tools appropriately to improve development productivity.

Additional Technical Experience AWS Data Lake: Lake Formation, Glue, Step Functions, Lambda Data Movement: AWS CLI, Python APIs, Spark, Boto3 Analytics: Athena, S3 Select, EMR, Redshift Compute and Storage: S3, EC2 Scheduling: Control-M preferred Programming: Python preferred; Java or Scala is a plus CI/CD and Change Management: Bitbucket/Git, Jenkins, ServiceNow Monitoring: AWS CloudWatch, Splunk, * Snowflake Horizon Catalog

Databricks and Unity Catalog
Additional experience with Spark and cloud data analytics

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