AWS Cloud Engineer
- Mindlance
2 Days Ago
50-65 per Hourly
W2
Mclean-VA
2-4 Years
Required Skills: PySpark, SQL, Linux, Python, BMC Control-M, Apache Spark, Amazon S3, Amazon RDS, Amazon EC2, Cloud Computing, Version Control, Step Functions, Shell, NoSQL
Job Description
- 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
Qualification:
- 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
