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Builds and optimizes a Data Vault-based data warehouse using Azure Data Factory, SQL, and Python, implementing ETL pipelines, monitoring, and testing in an Agile team.
Build and optimize a Data Vault-based data warehouse in Azure, improving ETL pipelines, monitoring, and unit testing for reliable analytics.
Build and optimize a Data Vault-based data warehouse in Azure, automate ETL pipelines, and implement monitoring/testing for a public-safety agency driving data-driven decision-making.
Build and maintain data pipelines and models using Databricks, PySpark, Python and SQL to deliver business insights and KPIs for data-driven decision making.
Builds and optimizes .NET-based RESTful APIs and full-stack apps using ASP.NET Core, Entity Framework, and Azure services for EY’s global consulting clients.
Builds and maintains data pipelines and reporting solutions using Microsoft Azure and Fabric tools for enterprise clients.
Build and maintain ETL/ELT pipelines and PySpark jobs to feed AI and analytics platforms, ensuring reliable data flow for enterprise-scale products.
Builds and maintains data pipelines, databases, and BI solutions using SQL, NoSQL, Azure, and Python to enable faster innovation and decision-making for clients across industries.
Build cloud-native .NET applications and data pipelines on Azure, including REST APIs, serverless functions, ETL/ELT workflows, and DevOps automation.
Designs and builds scalable Azure data pipelines and platforms to ingest, transform, and deliver clean data for analytics and reporting in a sustainability-focused chemicals company.
Build and maintain cloud-based data pipelines and warehouses in Azure to power automotive industry analytics, using Synapse, Data Factory, PySpark, and SQL.
Support, monitor, test, and improve Microsoft Fabric data solutions across business teams and user groups Assess business data support needs, source systems, data quality, technical constraints, incidents, and…
Lead a team to design, build, and optimize scalable data pipelines and warehouses on Azure using SQL, Python, ADF, Databricks, and Synapse.
Build and maintain data pipelines, ETL/ELT processes, and integrations for a payments company, ensuring high-quality data for reporting, AI services, and operational systems.
Builds and optimizes scalable data pipelines on Azure using Databricks, PySpark, Delta Lake, and related services for ETL/ELT and streaming workloads.
Credigy is seeking a Production Support Engineer to join our Data and Automation team. This role is responsible for supporting, monitoring, troubleshooting, and improving production data pipelines across both modern…
Leads the design and development of a data platform for an insurance client’s transformation, focusing on scalable, secure data architecture, integration, and AI/ML data pipelines using Azure tools.
Senior Data Engineer builds and maintains scalable batch/streaming pipelines (PySpark, SQL) for EY GDS Spain, supporting clients’ digital transformation with distributed data processing and ETL/ELT workflows.
Build and maintain cloud data pipelines in Azure, using ADF and PySpark to migrate and transform data while ensuring quality and integrity.
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