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Builds and maintains AWS-based data pipelines for a banking client, using Glue, Lambda, Step Functions, and PySpark to integrate, process, and catalog data.
Build and maintain AWS-based data pipelines for a bank using Databricks and PySpark on EMR/Glue.
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.
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.
Senior Data Engineer builds and maintains Azure-based data pipelines using Data Factory, Databricks, and PySpark to enable analytics and reporting.
Requisitos Técnicos indispensables: Experiencia de 3 a 4 años o más como Data Engineer o cumpliendo funciones similares. Experiencia de 3 a 4 años o más en la implementación de soluciones en nube Azure (Databricks,…
Builds and maintains Azure-based ETL pipelines, designs analytics-ready data models, and ensures data quality using Spark/PySpark and Azure DevOps.
Build and maintain scalable data pipelines and cloud infrastructure using PySpark and Databricks on Azure/AWS/GCP for enterprise clients.
Build and maintain data pipelines in AWS to feed a centralized data lake, then create dashboards in Power BI that surface business insights for Ripley Perú’s teams.
Senior Data Engineer builds and maintains Azure-based data pipelines using Data Factory, Databricks, and PySpark to enable analytics and reporting for clients.
Builds and maintains AWS-based data pipelines and Databricks Lakehouse solutions for a banking client, using PySpark, Glue/EMR, and orchestration tools like Airflow.
Design and build modern data platforms and ETL/ELT pipelines using Python, SQL, and tools like Databricks or Snowflake to deliver robust data solutions for customers.
Design and build modern data platforms and AI-driven pipelines using Python, PySpark, and tools like Databricks or Snowflake to deliver analytics and automation solutions for customers.
Build and maintain automated data pipelines, Data Lakes, and cloud-based ETL processes using Python, PySpark, and AWS services to process large datasets efficiently.
Build and maintain Azure-based data pipelines and analytics solutions for a global inspection and certification company’s cloud migration project.
Backend developer building and optimizing core banking APIs and ETL pipelines using Python, AWS, and Java Spring Boot to integrate and transform financial data.
Backend developer building and optimizing core banking APIs and ETL pipelines in Java/Spring and Python on AWS, designing secure integrations and ensuring high performance.
Builds and maintains the company’s Microsoft Fabric-based analytics platform using PySpark, SQL, and Power BI to support BI & Data team initiatives.
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