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You design and deliver bespoke intelligence applications for ZoomInfo’s largest enterprise customers by combining third-party data with their first-party systems to solve complex go-to-market challenges using Python, SQL, and cloud data warehouses.
Build and maintain data pipelines, models, and dashboards to power decision-making at an online K-12 school, integrating CRM, ads, and payment systems with SQL, Python, and Power BI.
Lead a team to design and optimize Google Cloud Platform data pipelines using BigQuery, focusing on real-time analytics and data governance.
Build and maintain scalable data pipelines and cloud-based data warehouses to feed analytics and ML systems using Python, SQL, and tools like Airflow and Snowflake.
Senior data engineer building and maintaining scalable data pipelines and cloud infrastructure for an online education platform using Python, AWS, and dbt.
Senior data engineer building and optimizing scalable cloud data pipelines on Google Cloud Platform, focusing on BigQuery, Python, and SQL to deliver reliable analytical products.
Designs and builds GCP-based ETL/ELT pipelines, BigQuery data warehouses, and real-time data flows using Dataflow and Airflow.
Designs and maintains scalable GCP data pipelines and warehouses using BigQuery, Dataflow, and Airflow to enable analytics and ML workflows.
Design and optimize large-scale GCP data pipelines and BigQuery models, mentor teams, and ensure high-performance, secure data architecture for real-time insights.
Senior Data Engineer designs and governs enterprise-scale data platforms, virtualization layers, and real-time pipelines using Denodo, Qlik Talend/Replicate, and IBM WatsonX Orchestrate.
Design and maintain cloud-native data pipelines and storage for a non-profit’s mission-critical platform, using Python, SQL, and Google Cloud/AWS.
Design and migrate data infrastructure to a cloud lake-house, build scalable pipelines, and mentor junior engineers for an online gaming company.
Design and scale robust data pipelines and infrastructure for AI-driven infrastructure projects, using cloud-native tools like Spark, Kafka, and Airflow to process IoT and telemetry data.
Build and maintain ETL pipelines to move transactional data into a modern data warehouse, write SQL transformations, and ensure clean, reliable data for analytics and risk teams.
Designs and builds scalable data pipelines, ETL/ELT processes, and cloud-native data warehouses to support enterprise analytics and reporting using Azure, AWS, or GCP.
Build and maintain data pipelines and infrastructure for marketing analytics and product insights using GCP, Snowflake, Matillion, and Amplitude to power AI-driven client reporting.
Build and maintain cloud infrastructure, CI/CD pipelines, and security for a global credit bureau using AWS, GCP, Terraform, Docker, and Kubernetes.
Build and govern a reliable dbt analytics layer for a fintech investor, transforming raw data into clean, actionable metrics and models for business decisions.
Designs, automates, and secures cloud infrastructure, migrates workloads from AWS to GCP, and builds CI/CD pipelines to keep systems reliable and scalable.
Senior Salesforce Developer builds and maintains Marketing Cloud and Data Cloud solutions, including email campaigns, data ingestion, and identity resolution, ensuring GDPR compliance.
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