Senior Director, Software Engineering

🕒 il y a 2 jours

🌽 Illinois – Distant

🌽 Illinois – Remote

💵 $120 000 - $165 000 / an

⏰ Temps Plein

🟠 Senior

🧑‍💻 Développeur Full-Stack

👻 Score fantôme 0%

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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Circana

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5001 - 10000 employés

🤝 B2B

💼 Conseil

B2B • Consulting

Chez Circana, nous mesurons et accélérons la demande. C'est aussi simple que cela. Nous nous associons aux marques pour aborder leurs défis commerciaux les plus ardus grâce à une combinaison de nos big data, de notre plateforme de visualisation de données alimentée par l'IA, et de notre expertise approfondie dans plus de 25 industries. Nos clients comptent sur nous pour les guider dans leurs prochaines étapes, et celles d'après, afin qu'ils puissent innover, répondre à la demande des consommateurs et croître.

Description

• Design, develop, and optimize scalable data workflows using Python, PySpark, and Airflow • Implement real-time and batch data processing using Spark • Enforce data quality, governance, and security best practices throughout the data lifecycle • Monitor and automate data systems to ensure availability, reliability, and performance • Manage cloud infrastructure and optimize data-processing costs • Implement CI/CD pipelines for reliable data-workflow deployments • Build and optimize large-scale data-processing pipelines using Apache Spark and PySpark • Implement data partitioning, caching, and performance tuning for Spark workloads • Work with structured and unstructured data to support analytics and machine-learning initiatives • Design and maintain Airflow DAGs to automate complex data workflows • Monitor, troubleshoot, and optimize job execution and dependencies • Lead a team of data engineers and provide technical guidance and mentorship • Promote coding standards, version control, and documentation best practices • Engage directly with clients to understand business needs and communicate technical concepts • Collaborate with engineering, product, and architecture peers to drive scalable, maintainable products • Partner with Program Management to align delivery timelines and mitigate risks

🎯 Exigences

• 8+ years of experience in data engineering • Expertise in Python, PySpark, Apache Spark, and Apache Airflow • Strong programming skills in Python and SQL • Ability to write efficient and maintainable code • Deep understanding of Spark internals, including RDDs, DataFrames, DAG execution, and partitioning • Experience with Airflow DAGs, scheduling, and dependency management • Knowledge of Git, Docker, Kubernetes, Terraform, and DevOps best practices for CI/CD workflows • Experience optimizing large-scale data processing • Experience leading teams and working in Agile/Scrum environments • Experience with common data warehouse and/or data lake platforms • Knowledge of cloud technologies, including Azure, AWS, or Google Cloud • Proven experience using generative AI tools for software development, data engineering, system design, testing, and troubleshooting • Strong understanding of AI-assisted engineering practices, including prompt engineering, code generation, automated testing, and AI-driven productivity workflows • Ability to identify opportunities to apply AI solutions to improve productivity, code quality, and operational efficiency • Strong communication and collaboration skills • Experience with ML Engineering is a plus

🏖️ Avantages

• Flexible and accommodating work environment • Paid time off • Medical insurance • Dental insurance • Vision insurance • 401(k) • Bonus pay eligibility • Accessibility accommodations for applicants with disabilities • Background checks conducted in accordance with local legislation • Current employer will not be contacted without permission

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