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Designs and builds real-time data platforms using Microsoft Fabric, Azure Data Factory, and PySpark to support analytics and AI workflows for semiconductor operations.
Designs and builds AWS-based data pipelines and ETL workflows, ensuring scalability and data integrity with PySpark and SQL.
Build and maintain AWS-based data pipelines and ETL workflows using Glue, S3, Lambda, and PySpark to process large datasets and migrate to Databricks.
Design and maintain large-scale data pipelines using PySpark, Hadoop, and Azure services to process and transform semiconductor manufacturing data.
Design and build scalable data pipelines on Azure using PySpark, SQL, Airflow, and Kafka to deliver high-quality data products for Bosch’s large-scale platform.
Designs and delivers scalable data pipelines, models, and analytics solutions using Azure, Databricks, and SQL to drive business insights and operational excellence in fleet management and financial services.
Designs and builds cloud-native data pipelines on AWS using Glue, EMR, and Athena with PySpark and SQL to transform large datasets for enterprise clients.
Build and maintain scalable data pipelines on AWS and Databricks, using Python, PySpark, and modern ETL/ELT frameworks to deliver reliable data across the organization.
Design and maintain scalable data pipelines on AWS using Glue, EMR, and Athena, with PySpark and SQL for transformations and DevOps practices via Terraform and GitLab.
Designs and optimizes AWS-based data pipelines using Python, PySpark, Airflow, and Redshift/S3/DynamoDB/Snowflake for batch and real-time analytics.
Designs and builds real-time data pipelines on AWS using PySpark, Airflow, and Redshift to power enterprise-scale analytics and insights for an HR-focused SaaS platform.
Build and optimize scalable data pipelines using Python, PySpark, and Databricks for batch and streaming workloads, managing Delta Lake layers and AWS S3 storage.
Builds and optimizes data pipelines and warehouses using AWS services, Teradata, and PySpark for a telecom-focused enterprise platform.
Data Engineer | Sydney, NSW We are looking for an experienced Data Engineer (9–14 Years) to join a high-performing team delivering enterprise-scale data platforms and real-time data solutions on AWS. Must Have Skills…
Build and optimize Azure-based data pipelines and Databricks environments to process large datasets, enabling analytics and insights for the business.
Lead a team building a reconciliation staging area for securities products, importing and transforming trade data in AWS and ensuring accurate matches between external MT messages and internal positions.
Design and maintain scalable data pipelines in Azure for a government digital transformation, ensuring data integrity and supporting analytics and ML workloads.
Design and build data pipelines for an education-sector client using Azure, Databricks, and Kafka to migrate and integrate enterprise data systems.
My client is seeking a Senior Data Engineer with strong AWS data engineering experience to design, build and optimise scalable data pipelines across both batch and real-time environments. This role is ideal for someone…
We're seeking an experienced Data Engineer to design, build, and maintain robust data solutions using Microsoft Fabric and related technologies. In this client-facing role, you'll bridge the gap between…
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