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Principal Platform Engineer builds and owns scalable data pipelines, AI/BI platforms, and cloud infrastructure for Harman’s automotive tech, using Python, SQL, PySpark, and cloud services.
Build customer segmentation and marketing analytics models using clustering, SHAP explainability, and Python/SQL to turn data into actionable insights for brands.
Build and refine Marketing Mix Models to quantify marketing spend impact, using regression, time-series, and ML techniques to guide budget allocation and ROI decisions for global brands.
Build and scale enterprise data pipelines for retail analytics and AI/ML, integrating POS, ecommerce, and third-party data to power modeling and executive decisions.
Own and optimize CoStar’s Databricks platform on AWS and manage relational/non-relational databases, automating governance, performance, and cost across cloud and on-prem environments.
Builds and maintains business intelligence solutions (Power BI, Tableau, SQL, Databricks) to analyze operational data, create dashboards, and support decision-making for a global semiconductor equipment manufacturer.
Lead the architecture and hands-on development of scalable data pipelines, BI/AI platforms, and infrastructure for automotive systems using SQL, Python, PySpark, and cloud platforms.
Lead the development of transformer-based healthcare foundation models to predict patient risk and health trajectories using claims, lab results, and EHR data.
Designs scalable data pipelines and ETL/ELT workflows to ingest and transform raw data into analytics-ready assets for a data engineering team.
Build and deploy ML models in Python and Azure to forecast business outcomes, detect anomalies, and drive data-driven decisions using Power BI and Dynamics 365.
Principal engineer building and scaling a global KYC and risk-assessment data platform, integrating agentic AI workflows and LLM pipelines while enforcing security and regulatory controls in a large financial institution.
Build and evolve a cloud-native data platform for Zelle, solving large-scale distributed data challenges and enabling payments analytics and AI/ML workloads using AWS technologies.
Build and maintain scalable security telemetry pipelines, onboarding diverse enterprise logs into Splunk and Databricks to power threat detection and incident response for a global financial firm.
Lead a team building scalable data pipelines and a control plane for IAM data using Databricks, Python, PySpark, and AWS, ensuring quality, security, and observability while mentoring engineers and adopting AI-assisted development tools.
Phoenix enables digital transformation across the UK public sector, empowering organisations to innovate with cloud and hybrid infrastructures, data, AI, security and collaboration technologies. We are now hiring a…
We're growing our talent netwo rk and looking to connect with experienced professionals for upcoming opportunities . While this isn't an active opening , we'd love to learn more about your background and…
About MarketOne MarketOne International is a global provider of B2B marketing services, helping enterprise companies identify new prospects, develop demand generation programmes, and convert pipeline to revenue. With…
Job Overview: Role Overview As a Databricks Senior Architect , you will lead the architecture and technical delivery of Primoris’ Databricks-based data platform and use cases across data engineering, analytics, and…
At Tennis Australia, we're creating a more playful world through tennis - for everyone. From grassroots to Grand Slams, tennis brings people together, inspires communities, and builds champions on and off the…
Leads the design, build, and optimization of a global data platform for a financial services firm, delivering scalable pipelines and models while mentoring teams across multiple systems.
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