AWS Cloud Engineer
Mindlance
Fairfax County, VA, United States
12 days ago
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Role details
Contract type
Temporary to permanent
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
4 years minimum
Working hours
Regular working hours
Job source
Tech stack
Agile Methodology
Amazon Web Services
Amazon Elastic Compute Cloud
Amazon S3
Cloud Database
Cloud Engineering
Information Engineering
Data Integration
Extract Transform Load (ETL)
Relational Databases
Linux
Elasticsearch
+26 more
Identity and Access Management
Python (Programming Language)
NoSQL
Logstash
Shell Script
Amazon Simple Notification Service (SNS)
SQL Databases
Workflow Management Systems
Apache Spark
Software Troubleshooting
Amazon Virtual Private Cloud (VPC)
Git
Amazon Relational Database Service
Pyspark
Information Technology
Deployment Automation
Qlikview
AWS Data Analytics
Cloudwatch
Kibana
Auto-Sys
Amazon Simple Queue Service (SQS)
Software Version Control
Data Pipelines
Elk Stack
Control M
Requirements
- Hands-on experience developing and supporting cloud-based data pipelines and applications on AWS
- Hands-on experience with AWS services including S3, Glue, EMR, Lambda, Step Functions, CloudWatch, CloudTrail, SNS, SQS, EC2, VPC, RDS, and IAM
- Proficiency in Python and/or PySpark/Spark
- Experience with ETL and Data Integration tools such as Qlik , IICS, and IDMC
- Experience with SQL, relational databases, and NoSQL databases
- Experience with Linux and shell scripting
- Experience with scheduling/orchestration tools such as Control-M or Auto-Sys
- Experience with monitoring and troubleshooting using CloudWatch and/or the ELK Stack: Elasticsearch, Logstash, Kibana, and Beats
- Familiarity with CI/CD practices, Git/version control, and automated deployment processes
- Working knowledge of Agile software development methodologies, processes, and practices
- Strong troubleshooting and problem-solving skills across AWS infrastructure, applications, and data pipelines, * Bachelor s degree in Computer Science, Information Technology, or equivalent work experience required
- 2 4 years of hands-on experience in AWS/cloud engineering, data engineering, or related development roles
- Hands-on experience building, developing, implementing, and supporting AWS data pipelines
- Strong analytical, troubleshooting, and problem-solving skills
- AWS Associate-level certification such as AWS Certified Developer or Solutions Architect is a plus
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