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We are on a mission to push the boundaries of what AI can do, providing data-driven certainty for a better tomorrow. Our diverse team of over 6,000 technologists and consultants operates across five continents, building cutting-edge ML and data solutions at scale. Join us to do great work and shape the future of enterprise AI.\nKey Responsibilities\n Architectural Leadership: Lead the design of high-level data architectures in Multi-Cloud environments (Azure and GCP) specifically for IIoT (Industrial Internet of Things) and manufacturing execution systems.\nIndustrial Data Modernization: Oversee the migration of legacy factory data systems to unified storage platforms like Hadoop and Databricks.\n Smart Manufacturing Insights: Build visualization frameworks in Tableau to track OEE (Overall Equipment Effectiveness), supply chain bottlenecks, and production quality metrics.\nPredictive Analytics: Utilize Spark, PySpark, and Python to develop models for predictive maintenance and demand forecasting.\nEnd-to-End Delivery: Manage the full SDLC for high-impact projects, ensuring data integrity and security across global manufacturing sites.\nStrategic Mentorship: Guide technical teams across onshore and offshore models, fostering excellence in data engineering and industrial AI.\nRequirements\nManufacturing Domain Expertise: Proven experience applying data solutions to manufacturing challenges, such as inventory optimization, shop-floor automation, or digital twins.\nExtensive IT Background: Over 18+ years of experience with a strong focus on Big Data ecosystems including Hadoop, Hive, and Spark.\nCloud Mastery: Deep expertise in Azure and GCP , supported by certifications in Data Engineering and Architecture.\nTechnical Depth: Hands-on proficiency with Informatica , Kubernetes , and advanced SQL for complex data exploration.\nEducation: A Master’s Degree in Software Engineering.\n Analytical Skills: Strong data processing and ETL experience using Python (NumPy/Pandas).\nBenefits\nSignificant career development opportunities exist as the company grows. 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