As a Data Engineering Sr. Specialist, you’ll develop the data infrastructure to ensure that Google stakeholders have the product, support, and operations data they need to make crucial business decisions.
Compensation
We support you with competitive wages and with comprehensive health care including medical, dental and vision coverage
Responsibilities
Oversee and review the development of the data infrastructure
Act as a subject matter expert and quality auditor for a team of Data Engineers
Partner with the Cloud Marketing team to create data and visualization solutions
Design and lead the development of innovative data solutions
Troubleshoot challenging problems using Google’s large-scale production data infrastructure
As a Data Engineering Sr. Specialist, you’ll develop the data infrastructure to ensure that Google stakeholders have the product, support, and operations data they need to make crucial business decisions.
Compensation
We support you with competitive wages and with comprehensive health care including medical, dental and vision coverage
Responsibilities
Oversee and review the development of the data infrastructure
Act as a subject matter expert and quality auditor for a team of Data Engineers
Partner with the Cloud Marketing team to create data and visualization solutions
Design and lead the development of innovative data solutions
Troubleshoot challenging problems using Google’s large-scale production data infrastructure
Requirements
Nice to have: GCP proficiency
Nice to have: Building and maintaining relationships with key stakeholders
Nice to have: Identifying and capitalizing on technical improvement and optimization opportunities
Nice to have: Supervising the design of new data products
Design complex and high performance Data architecture, leading key engagements in data management processes and IT programs, and mentoring other developers.
Compensation
Payrate: $76.00 - $76.92/hr.
Responsibilities
Design complex and high performance Data architecture
Developing and maintaining strong relations with senior executives
Participating and leading key engagements in developing plans and strategies of data management processes and IT programs
Facilitating, guiding, and influencing the clients and teams towards right information technology architecture
Leading and mentoring other developers within the team
Requirements
Bachelor's degree in a technical field such as computer science, computer engineering or related field
Manager to lead a security research team for detection and response across cloud environments, focusing on Kubernetes and hybrid cloud-native environments.
Responsibilities
Manage a team of security researchers conducting research on attacks against cloud data, Kubernetes and containers.
Lead, mentor, and grow a team of talented security researchers focused on defending organizations as they transition from on-premises data centers to modern cloud and Kubernetes infrastructure.
Drive the strategy and execution of research initiatives to uncover novel techniques for detecting and responding to sophisticated attacks targeting hybrid and cloud-native environments.
Define and prioritize detection use cases, relevant datasets, and innovative analytic approaches combining runtime visibility and posture management across diverse platforms.
Stay up to date with the latest attacker methodologies, APT campaigns, and TTPs to ensure our detection capabilities stay ahead of evolving threats in both legacy and cloud contexts.
Soutenir notre équipe Data en mettant à profit vos connaissances académiques sur un projet stratégique de grande envergure : la migration et la modernisation de l'une de nos solutions de Business Intelligence.
Responsibilities
Analyser et moderniser l'existant (Cognos et SAP), documenter son architecture et ses flux, et mener des entretiens avec les utilisateurs clés.
Concevoir et développer des pipelines d'ingestion de données robustes avec Talend, et concevoir l'architecture de stockage sur GCP BigQuery.
Implémenter des transformations de données complexes et optimisées à l'aide du framework dbt.
Concevoir, déployer et maintenir des tableaux de bord interactifs et intuitifs sur Looker.
Explorer les dernières tendances en matière de Data Engineering.
Requirements
Étudiant(e) en master en école d'ingénieur ou parcours universitaire avec une spécialisation en Informatique, Data Science ou équivalent
Support Target's leadership team with critical data analysis to drive profitable decisions and scalable decision-making in the modern retail market.
Responsibilities
Translate business problems into well-defined analytical questions and structured approaches
Support scenario, decision, and action modelling to evaluate business trade-offs and inform recommended actions
Partner with Target business stakeholders to understand priorities and roadmaps, validate analytical requirements, and present insights and recommendations with clarity and impact
Develop and deliver analytical and AI-driven solutions (including GenAI, Agent, and Agentic approaches) that enable decision support, forecasting, optimization, and automation
Apply advanced analytics techniques, including causal, predictive, and prescriptive analytics, to drive deeper understanding of business levers and inform optimal actions
Requirements
B.Tech / B.E.
Masters in Statistics/Econometrics/Mathematics equivalent
BA/BS in a quantitative degree – Math, Statistics, Econometrics, Data Sciences, Computer Science