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Builds and maintains AWS-based ETL pipelines for a Peruvian bank using Glue, PySpark, and SQL, with optional Lambda/Step Functions orchestration.
Builds and maintains data pipelines in Azure, transforming raw data into clean, analytics-ready datasets for Power BI dashboards.
Build and maintain cloud data pipelines for a banking client, migrating legacy systems to AWS (S3, Redshift, Athena) using Python, PySpark, and AWS Glue.
Senior Data Engineer builds and maintains CDC pipelines and lakehouse architecture using Databricks, ensuring data quality and query performance while migrating legacy systems.
Data Engineer builds FHIR-compliant pipelines that transform relational health data into JSON resources, using Python, SQL, GCP, and bulk ETL to integrate hospital systems.
Data Engineer designs and migrates relational databases to GCP, writes SQL/Python pipelines, and cleans large datasets for analytics.
Build and maintain scalable AWS-based data pipelines for a national education client using Databricks, Spark, and PySpark to ingest, transform, and process large datasets.
Design and build high-performance Java data pipelines that ingest and process blockchain data across multiple networks for Binance’s Web3 infrastructure.
Senior Data Engineer builds and optimizes AWS-based data pipelines for a financial-sector client, using DBT, Airflow, Glue, Redshift and Python to transform and validate large datasets.
Senior Data Engineer builds and maintains Azure-based data pipelines using Data Factory, Databricks, and PySpark to enable analytics and reporting.
Builds and optimizes GCP-based data pipelines using BigQuery, Cloud Functions, and Airflow to process large datasets and integrate APIs for analytics and reporting.
A leading insurance services firm is looking for a Quality Engineer with expertise in data platforms and cloud architectures. The role involves designing test strategies for data pipelines and validating AWS…
Lead a team to design and maintain scalable data pipelines on Databricks and Azure Data Factory for a Vienna-based insurance group.
Build and maintain data pipelines using Databricks, Azure Data Factory, and Python to support analytics and reporting for a large insurance group.
Lead a data engineering team to design and operate scalable Databricks pipelines in Python and Azure Data Factory, ensuring robust data ingestion, orchestration, and performance for an insurance group.
Leads a data engineering team to design and operate scalable pipelines using Databricks and Azure Data Factory for an insurance provider.
Lead a data engineering team to design and operate scalable Databricks pipelines on Azure, integrating SQL/NoSQL databases and optimizing performance for an insurance group.
Designs and implements data governance frameworks and ensures data quality for a data analytics consultancy working in a hybrid Monterrey office.
Lead large-scale data migrations to Google Cloud, designing and optimizing pipelines with Python/Go, Cloud Functions, Dataflow, and Dataproc.
Ingeniero de Integración de Datos Ubicación: (Especificar ubicación) Modalidad: Híbrida Salario: A convenir Contrato: Indefinido Acerca de Zemsania Zemsania es una empresa innovadora que se especializa en ofrecer…
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