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Systems Specialist - GCP Platform Engineer, Enterprise Data & Analytics

conEdison

New York, NYJobNo compensation foundPosted 2mo agoSeen in employer's feed 3 days ago

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At a glance

Compensation
No compensation found
Location
New York, NY
Work Authorization
Not specified

Requirements

Credentials this posting asks for.

Bachelor's degreeDriver's License

Job overview

conEdison is hiring a Systems Specialist - GCP Platform Engineer, Enterprise Data & Analytics. The Systems Specialist - GCP Platform Engineer will design and operate data and analytics workloads on Google Cloud Platform, utilizing core services such as BigQuery, Dataflow, Dataform, Pub/Sub, Cloud Storage, and IAM. This role requires proficiency with infrastructure-as-code and CI/CD pipelines for deploying and managing GCP resources at scale. The specialist will also review code and architectural designs against platform standards, providing actionable feedback to engineering teams.

Key focus areas include Design and operate data and analytics workloads on Google Cloud Platform, Review code and architectural designs against platform standards and provide actionable feedback, and Develop and maintain CI/CD pipelines using infrastructure-as-code tools.

Successful candidates bring Master's Degree In Computer Science Or Bachelor's Degree In Computer Science, 2+ Years Experience Or 3+ Years Experience, and Driver's License. Important skills include BigQuery, Dataflow, Dataform, Pub/Sub, Cloud Storage, and IAM. Preferred (not required): Terraform, Azure DevOps, FinOps Practices, and Cloud Cost Monitoring.

Skills & qualifications

RequiredNice to have

Skills

BigQueryDataflowDataformPub/SubCloud StorageIAMInfrastructure as CodeCI/CD PipelinesCode ReviewArchitectural Design ReviewScriptingPythonSQLCommunicationAdaptabilityProblem SolvingInterpersonal SkillsProject ManagementTime ManagementPriority SettingOrganizational SkillsDetail OrientedTerraformAzure DevOpsFinOps PracticesCloud Cost MonitoringChargeback ModelsShowback ModelsGCP Optimization TechniquesLookerDbtAirflow/ComposerKafkaData Governance ConceptsAccess ControlsData ClassificationData LineageQuality Monitoring

Qualifications

Master's Degree in Computer Science, Engineering, Math, Business, or Technology-Centric Field2+ Years Relevant Full-Time Work ExperienceHands-on Experience Designing and Operating Data and Analytics Workloads on Google Cloud PlatformDriver's LicenseTechnical Certification(S) in ITGoogle Professional Cloud ArchitectGoogle Professional Data EngineerGoogle Associate Cloud Engineer

Full job description

Required Education/Experience

  • Master's Degree in Computer Science, Engineering, Math, Business, or technology-centric field and a minimum of 2 years relevant full-time work experience or

  • Bachelor's Degree in Computer Science, Engineering, Math, Business, or technology-centric field and a minimum of 3 years relevant full-time work experience

Relevant Work Experience

  • Hands-on experience designing and operating data and analytics workloads on Google Cloud Platform, including core services such as BigQuery, Dataflow, Dataform, Pub/Sub, Cloud Storage, and IAM, required

  • Proficiency with infrastructure-as-code (Terraform preferred) and CI/CD pipelines (Azure DevOps preferred) for deploying and managing GCP resources at scale, required

  • Experience reviewing code and architectural designs against platform standards, with the ability to provide clear, actionable feedback to engineering teams, required

  • Strong scripting or development skills in Python, SQL, or a comparable language used in data engineering workflows, required

  • Familiarity with FinOps practices, including cloud cost monitoring, chargeback or showback models, and optimization techniques specific to GCP, preferred

  • Exposure to adjacent platforms or tools in a modern data stack such as Looker, dbt, Airflow/Composer, or event streaming technologies like Kafka, preferred

  • Working knowledge of data governance concepts including access controls, data classification, lineage, and quality monitoring within a cloud data platform, preferred

Skills and Abilities

  • Strong written and verbal communication skills

  • Possesses flexibility to work in a fast paced, dynamic environment

  • Ability to work within tight timeframes and meet strict deadlines

  • Demonstrated problem solving skills

  • Effective interpersonal skills

  • Ability to drive multiple projects to successful completion

  • Demonstrated time management and priority setting skills

  • Ability to simultaneously handle multiple priorities

  • Well organized, detail oriented and flexible to handle multiple assignments

Licenses and Certifications

  • Driver's License Required

  • Other: Technical certification(s) in IT Preferred

  • Other: Google Professional Cloud Architect Preferred

  • Other: Google Professional Data Engineer Preferred

  • Other: Google Associate Cloud Engineer Preferred

Physical Demands

  • Sit or stand to use a keyboard, mouse, and computer for the duration of the workday

Additional Physical Demands

  • The selected candidate will be assigned a System Emergency Assignment (i.e., an emergency response role) and will be expected to work non-business hours during emergencies, which may include nights, weekends, and holidays.

  • Available to work off hours as operationally required

EEO Statement:

Consolidated Edison Company of New York, Inc. (Con Edison), Orange & Rockland Utilities (O&R), and Consolidated Edison Transmission (CET) are equal opportunity employers. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of the individual’s actual or perceived disability, protected veteran status, race, color, creed, religion, sex, age, national origin, gender, gender identity, gender expression, genetic information, marital status, sexual orientation, citizenship, domestic violence victim status, or any other actual or perceived status protected by law.

Technical Difficulty Statement:

For technical issues, please contact us at [email protected]

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