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The Gen AI Solution Architect will design and deliver enterprise-grade AI/ML solutions using Microsoft Copilot, Azure, Python, and PySpark. This role involves hands-on development and cross-functional collaboration to implement advanced AI technologies.
Build scalable cloud data solutions and platforms using Snowflake, Databricks, Azure, Python, and SQL. Work as a consultant for an IT services company on client projects across government, energy, retail, and finance.
Design and build scalable Azure data solutions using Databricks, Snowflake, Microsoft Fabric, Python, PySpark, DBT, SQL, and Matillion for a Dutch IT consultancy's client projects across healthcare, government, finance, and energy sectors.
Tech en teamwork in het hart van Nederland In Woerden werk je met oa. Zorg ervoor dat al uw sollicitatiegegevens up-to-date en in orde zijn voordat u op deze vacature solliciteert. Snowflake, DBT en Python aan slimme…
Builds scalable cloud data solutions using Azure, Snowflake, Databricks, and Python/Spark to design pipelines, platforms, and data architectures for clients in government, energy, retail, and finance.
Data Scientist Co-op developing AI/ML analysis and application software in Python for US National Security and Dept of Defense customers at MORSE Corp.
Data Engineer at Euronext designing and developing data transformation flows (Python, SQL, PySpark) on a Dataiku-based Datalab hosted on AWS (Kubernetes), partnering closely with business teams across the full agile lifecycle from ideation to production monitoring.
Designs and implements cloud-native data platforms for scalable analytics and real-time data ingestion, optimizing Spark/PySpark jobs and enforcing data governance in a modern data stack.
Senior Data Engineer building and maintaining large-scale cloud data infrastructure, ETL pipelines, and data lake architectures in the healthcare domain using Python, PySpark, Azure, Snowflake, Databricks, and Terraform.
Senior Data Engineer designing and building scalable, cloud-native data platforms with event-driven ingestion pipelines, primarily using Spark/PySpark, Databricks/Snowflake, and a major cloud provider (Azure preferred).
The PySpark/Databricks Developer will build and optimize scalable data pipelines using Python, PySpark, and Databricks within an Agile environment. The role involves collaborating with cross-functional teams to maintain data quality and workflow orchestration, with Airflow experience preferred.
Build and optimize large-scale data pipelines and datasets using SQL, Snowflake, Databricks, Spark, and Azure services to support ML/AI and business analytics for Paychex's HCM platform.
The MDM Data Analyst will manage and interpret large datasets within the healthcare domain using Python, PySpark, and SQL. The role focuses on data modeling and ETL framework development to support data warehousing and data mart operations.
Backend engineer building scalable services and APIs for an AI-driven retail inventory and pricing optimization platform, using C#, Python, SQL Server, Airflow, and PySpark.
The Data Engineer will lead the migration of legacy Oracle DWH and MicroStrategy systems to a modern Microsoft Fabric platform. The role involves building scalable data pipelines, designing dimensional models, and collaborating with cross-functional teams to support retail business operations.
Builds and optimizes cloud-based data pipelines (ETL/ELT) using Microsoft Fabric/Azure Data Factory, focusing on API integrations, Lakehouse/Data Warehouse architecture, and stakeholder collaboration.
Designs and builds ML models and data pipelines for government missions, assessing dataset readiness and recommending fit-for-purpose solutions using Python, SQL, and AWS SageMaker.
This role involves designing and optimizing scalable data engineering pipelines using Databricks and Apache Spark for a banking client. The engineer will focus on processing structured and unstructured data to support AI/ML and RAG-based analytics workflows.
The Senior Data Engineer will design and develop scalable ETL/ELT pipelines and Lakehouse architectures using Databricks and Azure. The role involves optimizing data flows, implementing data governance, and collaborating with cross-functional teams to deliver data-driven solutions.
Build and optimize cloud ETL pipelines (AWS Glue/PySpark) and legacy integrations (IBM DataStage, SAS, SAP) to power machine learning and analytics at a data-driven company.
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