Data Discovery - Fort Worth, United States - Motion Recruitment Partners LLC

Motion Recruitment Partners LLC Fort Worth, United States

3 weeks ago

Description

Fort Worth, TX company is seeking a Data Discovery (BigID) Engineer to join their team for a contract opportunity.

Leverage the latest technology to solve business problems in a collaborative environment at this Fortune 500 transportation giant. Top technical resources are retained on long-term contract engagements.

Responsible for leveraging cutting edge technology to solve business problems by participating in all phases of the development process from inception through transition, advocating the agile process and test-driven development, using object-oriented development tools to analyze, model, design, construct and test reusable objects, and making the codebase better.

Contract Duration: 8 Months

Required Skills & Experience

Bachelor's Degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training.
3 years of experience as a systems or infrastructure engineer.
Basic knowledge in Microsoft SQL Server, Oracle database, PostgreSQL, MySQL, MongoDB administration skills.
3 years of experience with BigID platform administration including scanner deployments and building scan profiles.
3 years of experience as Kubernetes administrator with knowledge to deploy and manage cloud native applications in Kubernetes environments.
Must have hands on experience in docker containers, Kubernetes and Azure Kubernetes services administrations.
Must have good working experience with various Azure technologies.
Must have hands on experience with DevOps automation tools.
Must have knowledge of handling APIs for various integrations.
Preferred Qualifications- Education & Prior Job Experience.
Basic knowledge of data management disciplines such as data discovery, data governance, data privacy concepts.
Experience in onboarding different types of data sources in large scale enterprise environment.
Experience in assessing data classification and data sensitivity across structured and unstructured data sources.

Desired Skills & Experience

Knowledge of programming and scripting, including BASH, Python, VBS, or PowerShell.
Experience with scripting or programming, including Perl, Python, C, C++, C#, Java, Bash and Shell, or Batch a plus.
Capability to lead both technical and non-technical discussions.
Experience with Data Center managed service providers.
Strong ability to troubleshoot issues and coordinate teams to resolve root cause.

Ability to engage with multi-discipline internal teams to ensure smooth rollout of data protection solutions and successful integration with application teams.

Ability to interact with other enterprise teams, data analysts and data governance teams for cross functional efforts.
Ability to effectively communicate progress, escalations, and issue analysis to key stakeholders.

Demonstrated proficiency in strategic thinking and creative problem-solving with the ability to translate data analysis into logical and actionable outcomes.

Ability to manage stressful situations and adapt to changing environments.
Strong problem-solving skills and ability to exercise independent judgment with minimal direction from supervisor.
Ability to analyze complex problems and implement solutions and/or workarounds.
Demonstrated initiative, flexibility, and ability to adapt to changing priorities and work environments.
Ability to work on multiple projects simultaneously with a keen desire to learn and expand depth of knowledge.
Ability to thrive in a sense-of-urgency environment and leverage best practices.
Proficiency in Agile project management methodology, specifically within the infrastructure area.
Proficiency in Microsoft Suite (Word, Excel, PowerPoint, and Visio).

What You Will Be Doing

Bachelor's Degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training.
3 years of experience as a systems or infrastructure engineer.
Basic knowledge in Microsoft SQL Server, Oracle database, PostgreSQL, MySQL, MongoDB administration skills.
3 years of experience with BigID platform administration including scanner deployments and building scan profiles.
3 years of experience as Kubernetes administrator with knowledge to deploy and manage cloud native applications in Kubernetes environments.
Must have hands on experience in docker containers, Kubernetes and Azure Kubernetes services administrations.
Must have good working experience with various Azure technologies.
Must have hands on experience with DevOps automation tools.
Must have knowledge of handling APIs for various integrations.
Preferred Qualifications- Education & Prior Job Experience.
Basic knowledge of data management disciplines such as data discovery, data governance, data privacy concepts.
Experience in onboarding different types of data sources in large scale enterprise environment.
Experience in assessing data classification and data sensitivity across structured and unstructured data sources.

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