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Builds and optimizes cloud data pipelines using Scala, Python, or PySpark on Azure Databricks for a Spain-based data analytics firm.
Build and optimize large-scale data pipelines using Scala, Python, PySpark, and Databricks on Azure, designing cloud-native data architectures for enterprise clients.
Build and maintain ETL/ELT pipelines using Python, SQL, and AWS services (S3, Glue, Athena, Redshift) to process and integrate financial data for a cloud-ecosystem project.
Build and maintain data pipelines using Python, PySpark/Scala, and SQL/NoSQL to ensure data quality and availability for analytics and automation.
Builds and maintains PySpark pipelines on AWS for large-scale cloud-native data solutions.
Builds and maintains scalable data pipelines using Scala, Apache Spark, and cloud platforms to process and analyze large datasets.
Design and build scalable data pipelines on Google Cloud Platform using BigQuery, Dataflow, and Dataproc with Scala or Python for enterprise clients.
Build and maintain scalable PySpark data pipelines on AWS EMR and S3, deploying cloud-native infrastructure with Terraform/CloudFormation for clients across industries.
Designs and implements scalable data pipelines using Scala, Apache Spark, and Databricks to process and integrate financial data in cloud environments.
Designs and builds scalable Snowflake-based data pipelines and ETL/ELT processes in Azure, using Snowpark and SQL to deliver cloud-native analytics solutions.
Engineer Azure Kubernetes Service (AKS) and DevOps pipelines in Azure Cloud, focusing on CI/CD automation and cloud orchestration for enterprise projects.
Designs and maintains Azure Kubernetes Service (AKS) clusters and CI/CD pipelines, automating cloud deployments with Terraform, Ansible, and Python.
Build and maintain data pipelines, integrate data for analytics, and automate ML training/scoring using Snowflake, Python, and MLOps.
Build and deploy ML models for insurance use cases like customer churn and lifetime value using Python, Snowflake SQL, and MLOps in a fast-paced data team.
Build and optimize large-scale data pipelines and cloud data architectures (Azure Databricks, Spark, PySpark) for enterprise clients, ensuring performance, scalability, and cost efficiency.
Senior Data Analyst at Bluetab (IBM) in San Isidro, Peru, building and maintaining dashboards in QuickSight, Power BI, and MicroStrategy to deliver data-driven insights for business decisions.
Junior Data Analyst creating dashboards and reports using QuickSight, Power BI, SQL, and Oracle for business insights in a fast-paced tech team.
Senior Data Engineer designs, builds, and optimizes scalable data pipelines and solutions using Azure Data Factory, Databricks, and SQL, ensuring performance and cost efficiency in a collaborative team environment.
En /Bluetab, an IBM Company , no creemos en los límites, creemos en las trayectorias con propósito. Como un Great Place To Work , nos apasiona romper los esquemas tradicionales de la consultoría para construir…
¡Únete a nuestra revolución tecnológica como Data Engineer AWS JR! En Bluetab, rompemos con la consultoría tradicional porque contratamos para nuestra propia familia. Creemos en nuestra cultura, trabajamos en equipo y…
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