This lead role focuses on designing and managing large-scale ETL pipelines using PySpark on Google Cloud Platform. You will work with BigQuery, Datafl...

This role involves designing and maintaining scalable big data architectures capable of processing large datasets. You will build and optimize ETL pip...

This position focuses on building and maintaining scalable data architectures on AWS using PySpark. You will design ETL pipelines leveraging AWS servi...

As a GCP Data Engineering Lead, you will design and optimize end-to-end data pipelines on Google Cloud Platform. The role emphasizes building scalable...

This role involves leading the development of enterprise-grade ETL workflows using Azure Data Factory and PySpark on Azure Databricks. You will design...

This position focuses on building and optimizing cloud data warehouses on the Snowflake platform. You will design end-to-end data pipelines, manage ET...

As a Lead Data Engineer, you will design and maintain high-performance data pipelines and data warehouses on Snowflake. The role involves advanced ETL...

This role focuses on designing, building, and maintaining scalable data pipelines and cloud-based data platforms using AWS and PySpark. You will work ...

As a Data Engineer at Barclays, you will design, build, and maintain scalable data pipelines and cloud-based data platforms. The role focuses on devel...

This role focuses on designing, building, and optimizing large-scale data engineering solutions using Azure Databricks. The professional will develop ...

Databricks and Scala/PySpark Developer role requiring strong experience in Azure cloud services and data engineering. Key responsibilities include bui...

This role focuses on building and maintaining scalable data pipelines, data lakes, and data warehouses to support advanced analytics and machine learn...