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Design and build scalable data platforms using Microsoft Azure (Databricks, Synapse, Fabric) to turn complex data challenges into reliable, accessible solutions for customers.
Designs and builds scalable data pipelines using Azure and Python/SQL to process large datasets for enterprise clients.
Design and build large-scale data pipelines in Python/Scala and Spark to curate high-quality datasets for training next-gen AI models at TB/PB scale.
Senior Data Engineer builds and maintains scalable ETL pipelines in Python/Java and SQL, ensuring reliable data flows for enterprise clients.
Senior Data Engineer builds and maintains a national education data warehouse using Informatica PowerCenter and SQL Server to ensure reliable, accessible data for policy, research, and reporting.
Senior GCP Data Engineer builds and optimizes scalable data pipelines and CI/CD workflows using BigQuery, Dataflow, and Kubernetes, ensuring security and cost efficiency.
Leads the design and build of scalable data platforms, ETL pipelines, and cloud-based data warehouses for clients in finance, healthcare, and retail.
Design and build an Azure-based data platform using Databricks and Synapse to enable reliable data flows and transformations for a client’s data products.
Build and optimize scalable data architectures for clients in sectors like theme parks and healthcare, processing billions of records with tools like Snowflake, Databricks, and cloud platforms.
Build and maintain AI-powered data pipelines in a collaborative Agile team using SQL and Snowflake.
Build and maintain Dataiku and Snowflake-based data platforms using Python, SQL, and DataOps to deliver governed AI and analytics for internal teams.
Build and optimize cloud-based data pipelines using Databricks and related tools, managing storage and orchestration for multiple clients.
Senior Data Engineer builds and maintains scalable medical data pipelines and cloud infrastructure to support clinical care and research, ensuring privacy and quality in a healthcare setting.
Designs and runs tests for cloud-based ETL pipelines, validates data accuracy between sources and targets, and automates checks using Python, PySpark, Pandas, and Azure tools.
Builds and maintains data platforms, creates ETL pipelines, and exposes data via APIs for a product-focused team in the Netherlands.
Build and deploy AI models and data pipelines to optimize media strategies and operations for clients.
Lead a BI development team to design and build data pipelines, warehouses, and analytics solutions for clients using SQL, ETL, ADF, Databricks, and Python.
Designs and builds scalable cloud-native data platforms and pipelines for healthcare clients, using Azure/AWS/GCP, Databricks, Airflow, and Kafka to enable secure, compliant analytics and governance.
Build and scale data pipelines for a mobility platform, integrating APIs and creating datamarts for reporting and analytics.
Design and build scalable data pipelines and modern data platforms for clients, using cloud tools, SQL, Python, and dbt to enable analytics and AI-driven solutions.
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