Data Engineer – Snowflake

Emploi pas sur LinkedIn

🕒 il y a 1 jour

🤠 Texas – Distant

🤠 Texas – Remote

⏳ Contrat

🟠 Senior

🔴 Expert

🚰 Ingénieur Data

👻 Score fantôme 12%

Ce que ça veut dire : la probabilité que personne ne recrute vraiment pour cette offre.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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Air InfoSec

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1 - 10 employés

Fondée en 2023

💼 Conseil

🎖️ Défense

🔒 Cybersecurity

Consulting • Defense • Cybersecurity

Air InfoSec est une entreprise de cybersécurité qui sécurise les systèmes informatiques et cloud critiques et fournit des talents en cybersécurité hautement qualifiés. Elle offre des services complets, y compris la sécurité des infrastructures et du cloud, les tests d'intrusion et les opérations de red team, la réponse aux incidents et la criminalistique numérique, la chasse aux menaces, ainsi que des services de conseil en gouvernance, risque et conformité. Air InfoSec propose également des services de recrutement, de dotation et de sourcing de talents pour des professionnels certifiés et habilités, afin de répondre aux besoins en cybersécurité à long terme, à contrat ou pour des projets, en mettant l'accent sur des équipes disciplinées, d'origine militaire, pour des clients gouvernementaux et d'entreprise.

Description

• Participate in detailed sessions with business stakeholders to understand reporting needs, data extract requirements, and downstream data consumption patterns • Develop reverse-engineering documentation for existing data extracts to support business reporting and extract needs • Design and implement ETL/ELT pipelines that move data into Snowflake using approved tools and frameworks • Translate business requirements into functional and technical specifications for future self-service analytics • Collaborate with data engineers and architects on data modeling, schema design, and transformation logic in Snowflake • Develop new database schemas that meet business and technical requirements • Validate data quality and reconcile source-to-target results across Mainframe, Lonestar, Open Systems, and Snowflake environments • Develop data conversion and system implementation plans and obtain approval of system and programming documentation • Support creation of Power BI datasets, semantic models, and dashboards using Snowflake as the primary data source • Troubleshoot data issues across the pipeline from Lonestar or Open Systems extract through Snowflake load to Power BI visualization • Document technical processes, data flows, and system dependencies • Participate in code reviews, testing cycles, and production support activities • Provide technical advice, assistance, and recommendations on report development

🎯 Exigences

• 8 years of hands-on experience with Snowflake, including SQL, data loading, transformations, and performance tuning • 4 years of experience with ETL/ELT concepts, data pipelines, and data integration patterns • 5 years of experience analyzing complex data flows and troubleshooting issues across multiple systems • 4 years of experience with enterprise information management processes and methodologies, relational database management systems, and metadata management • 2 years of experience working in fast-paced, changing environments, achieving project delivery and deadlines, analyzing complex information, and developing plans to address identified issues • 2 years of experience applying interpersonal skills, including working with people under pressure, negotiating among multiple parties, resolving conflicts, and maintaining effective working relationships with personnel at various levels • Former Railroad Commission of Texas experience or an oil and gas industry background is strongly preferred • 3 years of experience with Informatica, Matillion, Azure Data Factory, or similar data integration tools is preferred • Graduation from an accredited four-year college or university with major coursework in data processing, computer science, business administration, or a related field is preferred • Candidates must be authorized to work in the U.S. • May be required to work outside normal business hours, including weekends, evenings, and holidays

🏖️ Avantages

• Remote work from home • Monday through Friday, 8:00 AM to 5:00 PM schedule • Excludes State holidays

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