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Lead data engineering teams to design and build scalable pipelines and ETL processes, enabling analytics and ML deployments for business insights at Western Digital.
Principal Engineer designs and builds scalable data pipelines and ETL processes, integrates ML models, and creates dashboards to support analytics and business decisions using SQL, Python/Java/Scala, and big data tools.
Principal IT Data Engineer designs and maintains scalable data pipelines and analytical solutions to support Finance and Legal teams using SQL, ETL tools, and cloud platforms like GCP.
Build and maintain data pipelines and dashboards to turn SAP and other manufacturing data into actionable insights using SQL, Tableau, and SharePoint.
Design and build scalable ETL pipelines on Databricks, using PySpark, Delta Lake, and Medallion Architecture to deliver clean, production-grade data workflows.
Principal engineer builds and sets direction for AI/data infrastructure that turns scientific data into reusable assets for model training and automated workflows in Python.
Designs and optimizes cloud data pipelines and platforms for a global analytics provider, ensuring high-performance workflows and data quality while mentoring engineers.
Principal Data Engineer builds and scales cloud data pipelines using Databricks/PySpark, DBT, Airflow, and Snowflake to power analytics for retail, CPG, and fintech clients.
Designs and builds scalable cloud data pipelines using DBT, Databricks, Snowflake, and Airflow, mentoring engineers and setting technical standards.
Principal AI & data engineer embedded with clients to design and deliver end-to-end AI solutions, build data pipelines, APIs and UIs, and mentor client teams.
Principal Data Engineer designs and builds scalable cloud data pipelines and warehouses for T-Mobile’s ad-tech platform, using Snowflake, Databricks, and AWS services to power analytics and audience solutions.
Lead the transformation of 3Shape’s Databricks-based data platform into an AI-ready foundation, defining architecture, governance, and scalable frameworks to power analytics and AI across the dental-focused MedTech company.
Lead the architecture and evolution of a Databricks-based data platform to power analytics and AI across a fast-growing MedTech company in dentistry.
Lead data engineering efforts to build and migrate a Databricks-based data lake and ML pipelines for an automotive client, using PySpark, Python, and CI/CD.
Principal Data Engineer designs and optimizes scalable distributed data systems and pipelines for U.S. clients, working remotely with international teams.
Principal Data Engineer builds and optimizes high-performance data pipelines for a fast-growing fintech, using Azure, Snowflake, dbt, and Airbyte to power analytics and ML at scale.
Lead Azure data-platform designs and client engagements, mentoring teams to build scalable pipelines with Data Factory, Synapse, Databricks, SQL and BI reporting while defining governance and security standards.
Principal Data Engineer at REA Group designing and overseeing data systems architecture, mentoring engineers, and ensuring reliable data delivery and governance.
Principal Data Engineer at REA Group designs and oversees large-scale data systems for Australia’s leading property platform, ensuring reliable pipelines and high-quality data delivery for millions of users.
Lead Azure data-engineering projects for clients, designing analytics, BI, and governance solutions in the cloud.
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