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Principal Data Engineer builds and scales Azure-based data pipelines, lakes, and analytics platforms using Databricks, PySpark, and Azure services to deliver governed data solutions for clients.
Senior Data Engineer builds and maintains Databricks pipelines for an AI-driven CRM platform, optimizing data flows, costs, and reliability to power global revenue intelligence from ERP/CRM sources.
Build and maintain scalable data pipelines in Databricks for a financial client, using PySpark, Azure, and medallion architecture to process batch and streaming data.
Build and maintain a governed lakehouse and semantic layer on Snowflake/dbt and Databricks, designing production pipelines and reusable data products that power analytics, AI, and customer-facing dashboards.
Build and optimize scalable data pipelines, ML workflows, and AI systems on Databricks using Spark, Delta Lake, MLflow, and Mosaic AI.
Lead and build cloud data pipelines using Python, PySpark, SQL, and Databricks for enterprise banking systems, ensuring efficient ingestion, transformation, and analytics at scale.
Build and optimize scalable data pipelines and lakehouse solutions using Databricks, Apache Spark, and Delta Lake, integrating with downstream systems for real-time and batch data consumption.
DevOps Engineer builds and maintains CI/CD pipelines for Azure-based data analytics pipelines, automates deployments, and optimizes cloud infrastructure to support data product delivery.
Senior role administering Databricks environments and developing enterprise Python applications to modernize data platforms and migrate legacy workloads.
Build and maintain data pipelines for Disney’s marketing analytics, using AWS, Databricks, Snowflake, and Airflow to ingest and transform vendor data into analytics-ready datasets.
Build and deploy AI-powered audience analytics for a large-scale media intelligence platform, using Python, PySpark, Databricks, and modern ML/AI techniques.
Build and maintain large-scale data pipelines, identity graphs, and ML models for programmatic advertising, processing tens of millions of device signals daily.
Build and own scalable ETL pipelines and data warehouses for a hospitality workforce-management SaaS, using AWS Glue, Airflow, Spark, and modern lakehouse formats.
Senior Data Engineer at Bureau to design and own the cloud data lake and streaming pipelines that power real-time fraud detection and identity intelligence products using AWS, Spark, Airflow, and graph databases.
At Dufrain, we help organisations turn complex data landscapes into scalable, high-performing platforms that drive better decisions and business outcomes. From building robust pipelines and reusable assets to enabling…
Build and maintain data pipelines and infrastructure to support AI model training and analytics at a company whose core product is AI.
Designs and maintains the data infrastructure for an AI company, ensuring scalable pipelines and efficient data models.
Senior pre-sales role designing enterprise investment data architectures for capital markets clients, demonstrating Rimes’ managed data solutions and analytics platform to CIOs and investment teams.
Build and maintain scalable ETL/ELT pipelines on Databricks using PySpark, SQL, and AWS, integrating data from APIs and databases into Delta Lake tables.
Lead a team building and scaling Azure-based data pipelines and AI-ready data models for a large ecommerce retailer using PySpark, Databricks, and Data Factory.
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