DevOps/ Cloud Engineer

job summary: Provides advanced data solutions by using software to process, store, and serve data to others. Tests data quality and optimizes data availability. Ensures that data pipelines are scalable, repeatable, and secure.

Builds a deep dive analytical skillset by working with higher level Data Engineers on a variety of internal and external data.

Core Responsibilities

Writes ETL (Extract / Transform / Load) processes, designs database systems, and develops tools for real-time and offline analytic processing.

Troubleshoots software and processes for data consistency and integrity. Integrates data from a variety of sources for business partners to generate insight and make decisions.

Translates business specifications into design specifications and code. Responsible for writing programs, ad hoc queries, and reports. Ensures that all code is well structured, includes sufficient documentation, and is easy to maintain and reuse.

Partners with internal clients to gain a basic understanding of business functions and informational needs. Gains working knowledge in tools, technologies, and applications/databases in specific business areas and company-wide systems.

Participates in all phases of solution development. Explains technical considerations at related meetings, including those with business clients.

Tests code thoroughly for accuracy of intended purpose. Reviews end product with the client to ensure adequate understanding. Provides data analysis guidance as required.

Provides tool and data support to business users and fellow team members.

Tests and implements new software releases through regression testing. Identifies issues and engages with vendors to resolve and elevate software into production.

Participates in special projects and performs other duties as assigned.

location: Charlotte, North Carolina job type: Contract salary: $51.66 - 56.66 per hour work hours: 8am to 5pm education: Bachelors

responsibilities: Provides advanced data solutions by using software to process, store, and serve data to others. Tests data quality and optimizes data availability. Ensures that data pipelines are scalable, repeatable, and secure.

Builds a deep dive analytical skillset by working with higher level Data Engineers on a variety of internal and external data.

Core Responsibilities

• Writes ETL (Extract / Transform / Load) processes, designs database systems, and develops tools for real-time and offline analytic processing.
• Troubleshoots software and processes for data consistency and integrity. Integrates data from a variety of sources for business partners to generate insight and make decisions.
• Translates business specifications into design specifications and code. Responsible for writing programs, ad hoc queries, and reports. Ensures that all code is well structured, includes sufficient documentation, and is easy to maintain and reuse.
• Partners with internal clients to gain a basic understanding of business functions and informational needs. Gains working knowledge in tools, technologies, and applications/databases in specific business areas and company-wide systems.
• Participates in all phases of solution development. Explains technical considerations at related meetings, including those with business clients.
• Tests code thoroughly for accuracy of intended purpose. Reviews end product with the client to ensure adequate understanding. Provides data analysis guidance as required.
• Provides tool and data support to business users and fellow team members.
• Tests and implements new software releases through regression testing. Identifies issues and engages with vendors to resolve and elevate software into production.
• Participates in special projects and performs other duties as assigned.

qualifications: Qualifications

Minimum of three years data analytics, programming, database administration, or data management experience. Undergraduate degree or equivalent combination of training and experience.

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com.

Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).

This posting is open for thirty (30) days.

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Provides advanced data solutions by using software to process, store, and serve data to others. Tests data quality and optimizes data availability. Ensures that data pipelines are scalable, repeatable, and secure.

Builds a deep dive analytical skillset by working with higher level Data Engineers on a variety of internal and external data.

Core Responsibilities

• Writes ETL (Extract / Transform / Load) processes, designs database systems, and develops tools for real-time and offline analytic processing.
• Troubleshoots software and processes for data consistency and integrity. Integrates data from a variety of sources for business partners to generate insight and make decisions.
• Translates business specifications into design specifications and code. Responsible for writing programs, ad hoc queries, and reports. Ensures that all code is well structured, includes sufficient documentation, and is easy to maintain and reuse.
• Partners with internal clients to gain a basic understanding of business functions and informational needs. Gains working knowledge in tools, technologies, and applications/databases in specific business areas and company-wide systems.
• Participates in all phases of solution development. Explains technical considerations at related meetings, including those with business clients.
• Tests code thoroughly for accuracy of intended purpose. Reviews end product with the client to ensure adequate understanding. Provides data analysis guidance as required.
• Provides tool and data support to business users and fellow team members.
• Tests and implements new software releases through regression testing. Identifies issues and engages with vendors to resolve and elevate software into production.
• Participates in special projects and performs other duties as assigned.

Qualifications Minimum of three years data analytics, programming, database administration, or data management experience. Undergraduate degree or equivalent combination of training and experience.