Software Big Data Operations Engineer, North Carolina
Software Big Data Operations Engineer, North Carolina
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North Carolina, USA
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Posted: 06/08
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Description
Job Descriptions:
In this contingent resource assignment, you may: Consult on complex initiatives with broad impact and large-scale planning for Software Engineering.
Review and analyze complex multi-faceted, larger scale or longer-term Software Engineering challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors.
Contribute to the resolution of complex and multi-faceted situations requiring solid understanding of the function, policies, procedures, and compliance requirements that meet deliverables.
Strategically collaborate and consult with client personnel.
Required Qualifications:
5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.
Team Objectives:
They aren't working from development. This team supports Infrastructure, troubleshooting.
This is a Big Data set up, working with Data Lake partners to set up for new tenants etc.
This is a Data Platform and there are 14+ applications that are supported.
The team is moving from Big Data platform to Cloud, Cloud emblement experience is important
Required Qualifications: (The team is OK with more experience than this, this would be a minimum):
4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
4+ years of hands-on experience in Hadoop
4+ years of experience with Teradata
4+ years of experience with MongoDB
4+ years of experience with AWS or GCP
4+ years of experience with GitHub
4+ years of experience designing, coding, testing, debugging, and documenting for projects and programs
3+ years of experience with Python & Unix/Shell scripting, Scala, Spark, HBase, Oozie, Flume, Druid and Kafka
3+ years of experience with Ansible
3+ years of experience with Airflow and Autosys
1+ years of experience with Dremio
2+ years of experience in setting up monitoring dashboards thru Grafana or Prometheus
1+ years of experience with Kubernetes
Desired Qualifications:
Data analytics capabilities and mindset at scale.
Ability to interact effectively at varying levels of the business and technical organization
Nice to be from Financial Services but not required
EEO:
“Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”
In this contingent resource assignment, you may: Consult on complex initiatives with broad impact and large-scale planning for Software Engineering.
Review and analyze complex multi-faceted, larger scale or longer-term Software Engineering challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors.
Contribute to the resolution of complex and multi-faceted situations requiring solid understanding of the function, policies, procedures, and compliance requirements that meet deliverables.
Strategically collaborate and consult with client personnel.
Required Qualifications:
5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.
Team Objectives:
They aren't working from development. This team supports Infrastructure, troubleshooting.
This is a Big Data set up, working with Data Lake partners to set up for new tenants etc.
This is a Data Platform and there are 14+ applications that are supported.
The team is moving from Big Data platform to Cloud, Cloud emblement experience is important
Required Qualifications: (The team is OK with more experience than this, this would be a minimum):
4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
4+ years of hands-on experience in Hadoop
4+ years of experience with Teradata
4+ years of experience with MongoDB
4+ years of experience with AWS or GCP
4+ years of experience with GitHub
4+ years of experience designing, coding, testing, debugging, and documenting for projects and programs
3+ years of experience with Python & Unix/Shell scripting, Scala, Spark, HBase, Oozie, Flume, Druid and Kafka
3+ years of experience with Ansible
3+ years of experience with Airflow and Autosys
1+ years of experience with Dremio
2+ years of experience in setting up monitoring dashboards thru Grafana or Prometheus
1+ years of experience with Kubernetes
Desired Qualifications:
Data analytics capabilities and mindset at scale.
Ability to interact effectively at varying levels of the business and technical organization
Nice to be from Financial Services but not required
EEO:
“Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”
Highlights
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Company nameMindlance
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Job positionSoftware Big Data Operations Engineer
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