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Senior Data Engineer builds and maintains scalable ETL/ELT pipelines using Oracle, AWS Redshift, S3, Glue, EMR, and PySpark to process and warehouse large-scale data for analytics and reporting.
Build and maintain enterprise-scale data pipelines and AI solutions using SQL, Python, Databricks, and Azure services to power analytics and generative AI for a real-estate-focused company.
Designs and builds scalable data pipelines using AWS Redshift, Oracle SQL/PL-SQL, and Python to power analytics and BI platforms.
Builds and optimizes ETL pipelines and data warehouses using SQL Server and SSIS to integrate BSS/OSS data sources with high quality.
Designs and builds data pipelines, warehouses, and models to integrate and transform business data for analytics and reporting.
Build and maintain ETL pipelines, optimize databases, and design data warehouses to support BI and analytics for a retail company.
Builds and maintains data pipelines, ETL processes, and SQL-based data warehouses using Microsoft SQL Server and SSIS to integrate, transform, and optimize business data for telecom and system integrator clients.
Designs and optimizes data pipelines and warehouses, integrating sources and ensuring data quality for analytics and insights.
Builds and maintains data pipelines, warehouses, and ETL processes to turn raw data into clean, accessible datasets for analysts and scientists, using SQL, Python, and cloud platforms like GCP/AWS.
Design and build data pipelines and microservices to feed AI systems, ensuring data quality and reliability for a web/mobile development agency.
Designs and maintains ETL pipelines using tools like SSIS, Pentaho, or AWS Glue to move and transform data into reliable datasets for analytics and business insights.
Build and maintain ETL pipelines and a centralized customer data platform using Python, SQL, and data warehousing tools to ensure reliable, structured data for analytics and decision-making.
Design and build enterprise-scale data pipelines and warehouses, transforming raw data into clean, standardized formats for analytics and reporting using Azure, SQL, Python, and Databricks.
Develops and optimizes low-code ERP, CRM, and automation solutions using Microsoft Power Platform, Dynamics 365, and related tools to improve business efficiency and workflows.
Senior Data Engineer builds and maintains scalable data pipelines and cloud platforms (Databricks, Snowflake, Azure/AWS) using Python, PySpark, and SQL to support enterprise analytics and reporting in banking and healthcare.
Design and build cloud-based data platforms and ETL pipelines for clients using Microsoft Fabric, Databricks, Snowflake, SQL and Python.
Senior Data Engineer builds and maintains ETL pipelines using Airflow, dbt, and Snowflake to power BI tools and ensure reliable data flow across global teams.
Desde CGI buscamos incorporar un/a Data Engineer / Desarrollador ETL con experiencia en Pentaho para participar en un proyecto estable dentro de un entorno empresarial. Cualquier información adicional que necesite para…
CGI busca incorporar un/a Data Engineer / Desarrollador ETL con experiencia en Pentaho para un proyecto estable en un entorno empresarial en Madrid. Se valorará experiencia en entornos Data Warehouse y herramientas BI,…
Описание Logicalis Spain provides IT services and consulting. Its Data & AI team delivers data engineering, artificial intelligence, advanced analytics, data strategy, governance, integration, and architecture…
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