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Senior Data Engineer builds and optimizes customer-identity data pipelines for ecommerce, using Python and Airflow to ensure reliable, scalable analytics across Books & Media and Fashion.
Designs, builds, and optimizes ETL/ELT pipelines in Databricks for a large telecom’s data lake, collaborating with architects, analysts, and data scientists.
Build and optimize scalable data pipelines on Databricks using Spark, Delta Lake, and Unity Catalog to power analytics and ML workflows for enterprise clients.
Senior Data Engineer builds scalable Kafka-based pipelines and event-driven architectures for a real-time e-commerce data platform in Málaga.
Builds and maintains data pipelines, ETL processes, and APIs to support university research analytics and reporting.
Designs and builds data pipelines using Microsoft Fabric and Azure to integrate and govern data for analytics and reporting.
Build and maintain data pipelines, clean and provision data, and develop ML algorithms using Python, SQL, Spark, and Kafka to extract business insights.
Build and optimize ETL/ELT pipelines, set up data lakes/warehouses/lakehouses, and ensure data quality while mentoring junior engineers in a global team.
Build and maintain end-to-end data pipelines, models, and governance to power analytics and decision-making using SQL, Python, dbt, Airbyte, and Airflow.
Designs and builds scalable ETL pipelines on GCP to enable analytics and AI use cases using BigQuery, Dataflow, and Pub/Sub.
Designs and maintains cloud data pipelines and analytics platforms on Azure and Databricks to support AI-driven analytics and predictive maintenance for food and beverage processing plants.
Build and maintain ETL/ELT pipelines in Azure Synapse, write PySpark and SQL stored procedures, and optimize data models for analytics workloads.
Builds and maintains a central semantic data model by integrating raw data from multiple sources using data engineering best practices.
Builds and maintains Python-based ETL pipelines and SQL data warehouses, and supports BI reporting in AWS for a growing tech team.
Build and maintain cloud-based data pipelines using Azure Data Factory, dbt, and Snowflake to support analytics and AI projects for enterprise clients.
Builds and maintains Python-based data pipelines on Google Cloud Platform and BigQuery to process and analyze cybersecurity datasets.
Design and automate scalable data pipelines for a biotech company, transforming genetic research data into a FAIR-compliant lakehouse using Microsoft Fabric Data Factory.
Design and scale data pipelines, ensure data quality, and develop ML algorithms to extract business insights for a European retail group.
Senior Data Engineer builds and optimizes scalable Spark pipelines on AWS, focusing on ETL/ELT processes and data architecture for enterprise clients.
Build and maintain data pipelines for a global banking client using SQL and other tools in a hybrid role based in Málaga.
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