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Design and implement ETL pipelines using Informatica PowerCenter/IDQ/DEI to integrate and process data for enterprise clients, primarily in finance or insurance sectors.
Build and maintain ETL pipelines using Informatica PowerCenter/IDQ/DEI to integrate and transform data for enterprise clients, primarily in finance and insurance sectors.
Senior Data Engineer designs and migrates reports to a Datalake environment using S3, Databricks, and Hive for a stable IT outsourcing project in Madrid.
Build and maintain data pipelines, clean and provision data, and develop ML algorithms using Python, SQL, Spark, and Kafka to extract business insights.
Design and scale data pipelines, ensure data quality, and develop ML algorithms to extract business insights for a European retail group.
Build and maintain a cloud data lake and real-time streaming pipelines using Kafka, Spark, Scala, and Airflow to process billions of messages daily for analytics.
Builds and validates scalable data pipelines using BigQuery, Cloudera/Hive, and SQL Server to integrate reliable financial or insurance data.
Builds and validates data pipelines using BigQuery, Cloudera/Hive, and SQL Server to ensure reliable, scalable data integration for digital transformation.
Build and maintain scalable data pipelines and ML algorithms using Python, Spark, Kafka, and SQL to deliver business insights and drive digital transformation.
Build and maintain big-data pipelines for financial-sector clients using Spark, Scala, and Python on Cloudera/Databricks.
Build and maintain AI-driven data pipelines for financial crime detection at a fintech company using Spark, Python, and big-data tools.
Build and maintain scalable data pipelines for a major bank using Java, Spark, and cloud-based Hadoop tools like Cloudera.
Design and maintain scalable data pipelines and warehouses for a global ad-tech platform, ensuring real-time data availability and quality for analytics and decision-making.
Build and maintain scalable cloud data pipelines for a global travel platform, using AWS, Kafka, Spark, and Scala to process billions of daily events.
Senior Data Engineer builds scalable data pipelines, ETL/ELT processes, and cloud-based analytics platforms using Python, Spark, AWS, and modern data stacks to power AI-driven solutions.
Build and maintain scalable data pipelines using cloud platforms (AWS/Azure/GCP), Databricks, and tools like Spark and DBT to integrate and optimize data workflows for enterprise clients.
Build and maintain scalable data pipelines using cloud platforms (AWS/Azure/GCP), Databricks, and tools like Spark and DBT to integrate and transform data for clients.
Builds and maintains ETL pipelines using Spark, Hadoop, and cloud tools to process business data, ensuring performance and scalability.
Build and optimize large-scale data pipelines for aerospace and defense clients using Python, Spark, and PostgreSQL on Cloudera/Hadoop clusters.
Build and optimize batch and real-time data pipelines, develop ML features, and design scalable data architectures using Python, Spark, Kafka, and Kubernetes.
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