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Senior Director, Software Engineering

đź•’ vor 6 Tagen

🌽 Illinois – Remote

infoinfo

đź’µ $120.000 - $165.000 / Jahr

⏰ Vollzeit

đźź  Senior

🧑‍💻 Full-Stack-Entwickler

🗣️🇺🇸🇬🇧 Englisch erforderlich

Woher diese Stelle stammt

Veröffentlicht auf der Karriereseite von Circana, nicht über eine Jobbörse

Von Remote Rocketship zum ersten Mal gesehen vor 6 Tagen

Noch offen auf der Website von Circana. GeprĂĽft vor 1 Stunde.

Logo of Circana

Circana

5001 - 10000 Mitarbeiter

🤝 B2B

đź’Ľ Beratung

B2B • Consulting

Bei Circana messen und beschleunigen wir die Nachfrage. So einfach ist das. Wir arbeiten mit Marken zusammen, um ihre schwierigsten geschäftlichen Herausforderungen zu meistern, indem wir unsere Big-Data-, KI-Datenvisualisierungsplattform und unsere tiefgreifende Expertise in über 25 Branchen kombinieren. Unsere Kunden vertrauen darauf, dass wir sie auf ihren nächsten Schritten und darüber hinaus begleiten, damit sie innovativ sein, die Verbraucheranforderungen erfüllen und wachsen können.

Beschreibung

• 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

🎯 Anforderungen

• 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

🏖️ Vorteile

• 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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