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Build and maintain large-scale data pipelines on Google Cloud Platform using PySpark, BigQuery, and Airflow to process and analyze high-volume datasets.
Builds and maintains data pipelines, ETL processes, and data warehouses to extract, transform, and load large datasets from diverse sources (structured/unstructured) using Hadoop, PySpark, Airflow, and BigQuery. Focuses on data validation, automation, and creating actionable business insights via algorithms and SQL.
Design and lead a cloud-based data architecture on GCP for regulatory reporting, using Java, Kafka, Spark/Flink, and BigQuery to build scalable event-driven and batch pipelines.
Innovate in Charlotte Thank you for dedicating your time and talent to Lowe’s. We want to give you more opportunities to learn and grow, so if you find a position you’re interested in below, we encourage you to apply!…
Build and maintain a GCP-based data analytics platform using Cloud Run, Vertex AI, GKE, and BigQuery, automating infrastructure with Terraform and Go.
Build and maintain a GCP-based data analytics platform using managed services, Terraform, and Kubernetes, while automating infrastructure and monitoring for AI-driven products.
Build and maintain scalable data pipelines on GCP, migrating data from Teradata to BigQuery and ensuring data quality for AI-driven enterprise solutions.
Senior engineer administering Google Cloud Platform, building scalable cloud infrastructure, automating DevSecOps, and enabling AI/ML workloads for mission programs.
Senior Data Scientist building ML pipelines, features, and models for a Brazilian Banking-as-a-Service platform, deploying and monitoring jobs to power financial products.
Build and own the data pipelines, feature platform, and ML models that power Sardine's real-time fraud and compliance decisions, using GCP tools like BigQuery, Dataflow, and Vertex AI.
Senior Data Engineer builds and maintains scalable data pipelines and platforms to power Apple's AI/ML research and products, using Python, Spark, and Google Cloud technologies.
Build and maintain CrowdStrike’s AI/ML infrastructure, debugging Ray, Spark, Airflow, and Kubernetes pipelines that process billions of daily events to keep the cybersecurity platform running.
Designs and leads enterprise-scale Databricks Lakehouse platforms on Azure, AWS, or GCP, including governance, security, and AI/ML workloads, while migrating legacy systems and mentoring teams.
Principal Engineer leading data engineering initiatives at Wells Fargo, designing cloud-native data platforms and modernizing legacy systems using Azure Fabric, GCP, and AI/GenAI technologies.
Owns and delivers data products that power automated decision-making within Equinix's GCP ecosystem, from ingestion and modeling to deployment and performance monitoring.
Designs and maintains scalable data pipelines and platforms in Python to process large data volumes for analytics, using cloud tools like GCP/AWS/Azure and ensuring data quality and governance.
Senior MLOps Engineer builds and scales ML infrastructure, deploys models, and supports cross-functional teams in optimizing retail-focused machine learning pipelines using GCP, Kubernetes, and Python.
Builds and maintains scalable GCP data pipelines and cloud-native solutions for enterprise analytics and AI, using BigQuery, Dataflow, and Python.
Leads the design and evolution of a modern, scalable data platform at ROIT, defining architecture, standards, and pipelines to support analytics, AI, and business solutions using Python and Google Cloud Platform.
You have a clear vision of where your career can go. And we have the leadership to help you get there. At CNA, we strive to create a culture in which people know they matter and are part of something important,…
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