Overview
On Site
$60 - $65
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 12 Month(s)
Skills
Amazon DynamoDB
Amazon EC2
Amazon Kinesis
Amazon RDS
Amazon S3
Amazon SQS
Amazon Web Services
Analytical Skill
Apache Spark
Application Development
Cloud Computing
Conflict Resolution
Continuous Integration
Continuous Integration and Development
Elasticsearch
Electronic Health Record (EHR)
Extract
Transform
Load
Java
Kibana
JSON
Golang
Scala
ServiceNow
Snow Flake Schema
Job Details
Senior Cloud Engineer Dremio
McLean,VA - Onsite work
Job Description
Required Skills:
Dremio application management with one year or more experience is a must have.
Strong hands-on experience building ETL pipelines using Apache Spark.
Hands on experience with AWS services such as Glue, EMR, Lambda, Step Functions, CloudTrail, CloudWatch, SNS, SQS, S3, VPC, EC2, RDS, IAM.
Proficient in Python and/or Scala programming languages
Knowledge of application development lifecycles, & continuous integration/deployment practices
Experience with development on AWS and cloud native applications
Experience with S3, DynamoDB, Kinesis and Snowflake
Experience with Developing Data Platforms on AWS
Proficient in Agile Software Development methodology, processes, and practices.
Experience with the full ELK Stack - Elasticsearch, Logstash, Kibana, Beat agents and REST API integration.
Experience with programming languages like GoLang, Java, JSON etc.
Fine tuning the Search Relevancy according to the business requirements.
Develop Elastic alerting solutions using Watchers and Kibana.
Generate Alerts that will integrate into Service Now/Jira for ticketing.
Qualifications:
- Bachelor s degree in related field
- Strong, analytical, focused, self-driven with excellent problem-solving skills
- Minimum 7 years of hands-on in-depth experience of AWS Data Pipelines development and implementation is required
- AWS Associate or Professional level certifications is a plus
Dremio application management with one year or more experience is a must have.
Strong hands-on experience building ETL pipelines using Apache Spark.
Hands on experience with AWS services such as Glue, EMR, Lambda, Step Functions, CloudTrail, CloudWatch, SNS, SQS, S3, VPC, EC2, RDS, IAM.
Proficient in Python and/or Scala programming languages
Knowledge of application development lifecycles, & continuous integration/deployment practices
Experience with development on AWS and cloud native applications
Experience with S3, DynamoDB, Kinesis and Snowflake
Experience with Developing Data Platforms on AWS
Proficient in Agile Software Development methodology, processes, and practices.
Experience with the full ELK Stack - Elasticsearch, Logstash, Kibana, Beat agents and REST API integration.
Experience with programming languages like GoLang, Java, JSON etc.
Fine tuning the Search Relevancy according to the business requirements.
Develop Elastic alerting solutions using Watchers and Kibana.
Generate Alerts that will integrate into Service Now/Jira for ticketing.
Qualifications:
- Bachelor s degree in related field
- Strong, analytical, focused, self-driven with excellent problem-solving skills
- Minimum 7 years of hands-on in-depth experience of AWS Data Pipelines development and implementation is required
- AWS Associate or Professional level certifications is a plus
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