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Senior Data Engineer builds and optimizes Snowflake-based data pipelines and ETL processes, leads data governance, and mentors teams to deliver scalable, high-quality data solutions for analytics and business reporting.
Build and maintain Lunar’s real-time data platform using Flink, Iceberg, and Kubernetes, enabling self-service analytics for the bank’s teams.
Build and maintain scalable GCP data pipelines and analytics platforms for a digital banking project using BigQuery, Dataflow, and PostgreSQL.
Build and optimize cloud data platforms using Microsoft Fabric, Azure, and Power BI, designing scalable data architectures and AI-driven analytics solutions for enterprise customers.
Designs and implements Reltio-based Master Data Management (MDM) solutions for Amgen’s pharma/life sciences data, focusing on data modeling, Lifecycle Actions, Python scripting, and API integrations to ensure golden record accuracy and compliance.
Owns and improves Chainguard’s CRM data ecosystem, ensuring clean, trusted, and scalable account/contact data for Sales, Marketing, and RevOps while enforcing governance standards and tooling integrations.
Lead enterprise data governance and transformation for a global bank, shaping policies and practices to ensure trusted, accessible data that drives business growth and AI innovation.
Line of Service Advisory Industry/Sector Not Applicable Specialism Emerging Technologies Management Level Senior Associate Job Description & Summary At PwC, our people in software and product innovation focus on…
Build and optimize Snowflake data pipelines and warehouse models for healthcare claims data, migrating legacy SQL Server systems to the cloud while ensuring HIPAA-compliant security.
Senior Data Engineer builds and scales high-throughput pipelines and data-quality frameworks to power fraud/AML/transaction-monitoring decision engines for a European fintech.
Build and optimize scalable data pipelines for a transparent, onchain trading platform, using IaC and modern data tools to enable real-time analytics and AI-driven insights.
Build and maintain data pipelines, clean and standardize datasets, and ensure high-quality data access for analytics using Python, .NET/C#, SQL, Databricks, PySpark, and AWS.
Design and build scalable data pipelines and warehouse models to deliver trusted insights from product and corporate systems to Salesforce teams using ETL, SQL, and big-data tech.
Design and enforce data governance policies, automate metadata tagging with AI tools, and ensure compliance for AWS-hosted data assets.
Senior Data Governance Analyst executes and supports enterprise Data Governance initiatives, creates governance documentation, performs data analysis, and leverages AI-powered tools for data classification and compliance. Requires experience with data governance platforms like Atlan, Collibra, or Alation, and hands-on AWS experience.
Lead the architecture and scaling of Foodsmart’s data platform, owning pipelines, dbt, and warehouse infrastructure to deliver reliable, HIPAA-compliant insights for analytics, BI, and AI tools across 2.2M members.
Build and maintain Python-based data pipelines using Airflow and Medallion Architecture to ingest, transform, and deliver automotive data for analytics and reporting.
Overall responsibility for the regions sales, third party alliances, and customer satisfaction. Develops and implements a comprehensive strategy that maximizes Oracle's opportunities across all products and product…
Build and maintain AWS-based data pipelines and governed analytical products for public-sector clients, using SQL, Python, dbt, and managed AWS services.
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