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Builds and maintains data pipelines, infrastructure, and decision-making systems for ad targeting; models user personas and optimizes ad delivery using Spark, AWS, and ML.
Designs and builds scalable cloud data pipelines on GCP using SQL, BigQuery, and dbt to model and transform data for analytics and reporting.
Designs, builds, and optimizes large-scale data pipelines using Spark, Databricks, and Hive to ensure high performance and scalability.
Data Engineer builds and maintains SAP-based data warehouses and BI solutions using BW/BW4HANA, SAC, Datasphere and ABAP.
Develops and maintains ETL processes using Pentaho and SQL to integrate and process data in a hybrid Madrid-based role.
Intern role at P&G’s MEQUINENZA PLANT to analyze operations, build digital prototypes, and learn SQL, Python, and BI tools under mentorship.
Desarrolla y mantiene procesos ETL con Pentaho para integrar y procesar datos en un entorno híbrido en Madrid.
Data Engineer responsible for the full data lifecycle: integration, transformation, modeling, and visualization using Power BI and Snowflake.
Designs scalable data pipelines and cloud-based solutions using Databricks, Spark, and Azure to transform raw data into actionable business insights, collaborating in Agile/DevOps environments.
Senior Data Engineer builds and maintains industrial data pipelines using Azure Databricks and Kafka to connect plants with a Lakehouse data platform.
rindus invites you to join a cutting-edge data engineering initiative with an AI-first approach, building scalable data pipelines for a major fashion retailer partner. Descubra exactamente qué habilidades, experiencia…
Builds and maintains Big Data pipelines using PySpark, AWS, and Terraform to diagnose issues, automate infrastructure, and optimize data solutions in a global team.
Builds and maintains Value-at-Risk (VaR) models and ETL pipelines for financial risk analysis, writing SQL/PL-SQL and configuring Control-M workflows to ensure accurate market risk data.
Design and build ETL pipelines in Azure Data Factory using Python and PySpark to migrate and transform data for cloud platforms.
Builds and optimizes data pipelines for media/advertising clients using SQL, BigQuery, and DBT, while creating custom Power BI dashboards for cloud-based analytics.
Builds and optimizes data pipelines for clients using Snowflake and dbt, ensuring scalable architectures that drive measurable business impact through collaboration with stakeholders.
Builds and maintains data pipelines to transform, process, and analyze large datasets, ensuring data quality and accessibility for analytics. Core technologies include ETL/ELT tools and pipeline orchestration.
Builds and maintains Big Data pipelines using PySpark, AWS, and Terraform to diagnose issues, optimize data processing, and implement new features in a cloud environment.
Designs, builds, and maintains scalable data pipelines and automation solutions with a focus on AI, integrating ERP, databases, and APIs to transform and analyze company data.
Design and maintain scalable AWS-based data pipelines and data lake solutions using Spark, Python, SQL, and Kafka.
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