AWS & ETL Cloud Engineer

Job Cloud Inc.
McLean, VA, United States
5 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Sql Data Warehouse Agile Methodology Artificial Intelligence Amazon Web Services Amazon Elastic Compute Cloud Amazon S3 Cloud Computing Cloud Database Cloud Engineering Continuous Integration Data Integration Extract Transform Load (ETL)
+29 more
Relational Databases Linux Elasticsearch Identity and Access Management Python (Programming Language) NoSQL Logstash Shell Script Amazon Simple Notification Service (SNS) SQL Databases Workflow Management Systems Snowflake Apache Spark Amazon Virtual Private Cloud (VPC) Git Amazon Relational Database Service Pyspark Deployment Automation Data Analytics Qlikview Data Management Cloudwatch Kibana Auto-Sys Amazon Simple Queue Service (SQS) Software Version Control Data Pipelines Elk Stack Control M

Job description

Hands-on experience developing and supporting cloud-based data pipelines and applications on AWS

Requirements

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 Cloud BC Labs Inc is a digital transformation organization aimed at creating seamless solutions for clients to effectively manage their business operations. The company specializes in Business and Management Consulting, AI/ML, Data Analytics & Visualization, Cloud Data Warehouse Migration, Snowflake Implementation, Informatica Implementation & Upgrade, Staffing Services and Data Management Solutions

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