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Cloud Engineer

In Texas / United States

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Cloud Engineer   

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JOB TITLE:
Cloud Engineer
JOB TYPE:

JOB SKILLS:
JOB LOCATION:
Austin Texas / United States

JOB DESCRIPTION :
Cloud Engineer
Austin, Texas preferred but open to other US locations
6 Months

JD: detail JD refer below.

Onsite (US) Data Architect
AWS centered data architect, Elastic Search, Snowflake on AWS, Splunk to develop predictive analytics
* Good knowledge of AI/ML techniques for further development
* Ability to develop architecture and lead implementation
* Ability to present to senior IT leadership

Must Haves

  • 12+ years of hands-on experience architecting, designing and implementing complex enterprise data architecture.
  • Experience with data analysis,data modeling, data warehousing, and building ETL pipelines.
  • Experience analyzing data using statistical methods to identify patterns.
  • Experience working with large amounts of structured & unstructured data 100s of gigabytes per day.
  • Proven track record working in AWS. AWS services including S3, Elastic Search, Glue, EC2, Kinesis, etc.
  • Strong experience with the ELK Stack Elasticsearch, Logstash, Kibana
  • Hands-on Experience architecting and implementing using Splunk or similar technologies.
  • Experience working with Snowflake
  • Strong Experience in relational database technologies/SQL and non-relational/NoSQL (DynamoDB, Cassandra etc.)
  • Experience in working and delivering end-to-end projects independently.
  • Knowledge of distributed systems as it pertains to data storage and computing
  • Proven success in communicating with other technical teams, stakeholders, end-users and senior management to collect requirements and describe data modeling decisions and data engineering strategy
  • Experience providing technical leadership and mentoring other engineers for best practices on data engineering
  • Experience conducting large scale data analysis to support business decision making
  • Ability to solve complex problems quantitatively and develop clear, data-driven business recommendations
  • Experience operationalizing the data platform for ongoing support and maintenance.
  • Experience building dashboards and reports to visualize the data patterns.

Good to have

  • Data analysis using Jupyter notebooks and strong Python programming skills.
  • AI/ML & Data Science

Position Details

Apr 17, 2021
S1617465859925984
Texas / United States
Austin
A job sourcing event
In Dallas Fort Worth
Aug 19, 2017 9am-6pm
All job seekers welcome!

Cloud Engineer    Apply

Click on the below icons to share this job to Linkedin, Twitter!

Cloud Engineer
Austin, Texas preferred but open to other US locations
6 Months

JD: detail JD refer below.

Onsite (US) Data Architect
AWS centered data architect, Elastic Search, Snowflake on AWS, Splunk to develop predictive analytics
* Good knowledge of AI/ML techniques for further development
* Ability to develop architecture and lead implementation
* Ability to present to senior IT leadership

Must Haves

  • 12+ years of hands-on experience architecting, designing and implementing complex enterprise data architecture.
  • Experience with data analysis,data modeling, data warehousing, and building ETL pipelines.
  • Experience analyzing data using statistical methods to identify patterns.
  • Experience working with large amounts of structured & unstructured data 100s of gigabytes per day.
  • Proven track record working in AWS. AWS services including S3, Elastic Search, Glue, EC2, Kinesis, etc.
  • Strong experience with the ELK Stack Elasticsearch, Logstash, Kibana
  • Hands-on Experience architecting and implementing using Splunk or similar technologies.
  • Experience working with Snowflake
  • Strong Experience in relational database technologies/SQL and non-relational/NoSQL (DynamoDB, Cassandra etc.)
  • Experience in working and delivering end-to-end projects independently.
  • Knowledge of distributed systems as it pertains to data storage and computing
  • Proven success in communicating with other technical teams, stakeholders, end-users and senior management to collect requirements and describe data modeling decisions and data engineering strategy
  • Experience providing technical leadership and mentoring other engineers for best practices on data engineering
  • Experience conducting large scale data analysis to support business decision making
  • Ability to solve complex problems quantitatively and develop clear, data-driven business recommendations
  • Experience operationalizing the data platform for ongoing support and maintenance.
  • Experience building dashboards and reports to visualize the data patterns.

Good to have

  • Data analysis using Jupyter notebooks and strong Python programming skills.
  • AI/ML & Data Science