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Senior Data Engineer to migrate and optimize analytics workloads from BigQuery to Databricks, building PySpark pipelines, Lakehouse architecture, and Delta Lake layers for large-scale data processing.
Senior Data Engineer to migrate and modernize a large retail analytics platform from BigQuery to Databricks, building scalable Lakehouse pipelines with PySpark, Delta Lake, and Unity Catalog.
Build and maintain a Databricks-powered data platform using Spark, Delta Lake, and Python to power analytics and AI/ML workflows for a company migrating from AWS-native services.
Build and optimize scalable data pipelines using Microsoft Fabric, PySpark, and Delta Lake to power analytics and reporting solutions.
Build and maintain scalable data pipelines on Databricks and Azure to ingest POS, transactional, and operational data, enabling reliable reporting and analytics for a large Canadian restaurant group.
Builds secure, scalable Azure data pipelines and platforms for government analytics, using Databricks, Synapse, and Python to ensure trusted, compliant data access.
Build and optimize cloud data pipelines using Python, PySpark, SQL, and Databricks to ingest, transform, and load enterprise data into Snowflake warehouses.
Lead a team building scalable data pipelines and AI-driven analytics using Python, Spark, and PyTorch to process large-scale datasets for enterprise clients.
Build and maintain data pipelines, models, and ETL jobs in Azure using Python, Delta Lake, and SQL to support banking analytics and reporting.
Designs and maintains scalable big-data pipelines on Databricks/Delta Lake to feed BI and decision systems, ensuring reliability, cost control, and data quality for an ad-tech platform.
Senior Data Engineer builds secure, scalable pipelines and cloud data infrastructure to power real-time analytics and ML models for a cleantech firm optimizing energy storage and costs.
Build and maintain ETL pipelines and production ML systems on Azure, deploying models with Databricks and PySpark while ensuring data quality and model performance.
Convert legacy SAS code to PySpark/SQL, migrate DB2 data to cloud lakes, and build automated testing pipelines on Databricks.
Build and own a modern Data Lakehouse (Delta Lake) for smart metering and IoT telemetry, migrating legacy systems and ensuring data quality across high-volume energy and building automation workloads.
Senior Data Engineer builds and maintains Snowflake/dbt lakehouse pipelines and data products that power analytics and customer-facing dashboards at a global subscription-commerce platform.
Build and maintain Azure-based data pipelines using Databricks, Delta Lake, and PySpark to process and transform large datasets for analytics and reporting.
Builds and maintains ETL/ELT pipelines on Azure Databricks using PySpark and Azure Data Factory, integrating relational and cloud data sources.
Designs and builds cloud data pipelines using Azure Databricks, PySpark, and Delta Lake to power analytics and BI, integrating with SQL Server and Azure Data Factory.
Build and own Duetto’s Python/PySpark data lakehouse that powers real-time hotel pricing decisions, migrating from batch to streaming pipelines on AWS while driving data quality and AI-assisted tooling.
Build and deploy optimisation, forecasting, and scheduling models using Python, SQL, Databricks, and MLflow to improve operational decisions for a client’s AI transformation.
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