
Cloud Engineer – Data/AI Focused
Innovative Solutions
full-time
Posted on:
Location Type: Hybrid
Location: Rochester • New York • North Carolina • United States
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Job Level
About the role
- Implementing data pipelines using AWS services such as Glue, Lambda, Step Functions, and EMR
- Creating and maintaining data extraction, transformation, and loading processes
- Configuring and optimizing AWS database services including RDS, Aurora, Redshift, and DynamoDB
- Implementing data lakes using S3 and related AWS services
- Writing and testing SQL queries and stored procedures
- Documenting technical solutions and providing knowledge transfer to customers
- Supporting the implementation of data governance and security controls
- Troubleshooting and resolving issues with data pipelines and services
- Participating in code reviews and implementing feedback
- Assisting with proof-of-concept implementations for customer engagements
Requirements
- Must have 1-3 years of experience with cloud technologies, preferably AWS
- Must have AWS Certified Cloud Practitioner certification or ability to obtain within 3 months
- Must have experience with SQL and at least one programming language (Python, Java, etc.)
- Must have basic understanding of data engineering concepts and data lifecycle management
- Must have familiarity with AWS data services such as S3, RDS, Glue, and Redshift
- Must have understanding of data security and access control principles
- Must have experience with version control systems (Git)
- Must have knowledge of infrastructure as code concepts
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AWSSQLPythonJavadata extractiondata transformationdata loadingdata governancedata securityinfrastructure as code
Soft Skills
troubleshootingdocumentationknowledge transfercode reviewcustomer engagement
Certifications
AWS Certified Cloud Practitioner