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Designs and builds AI-first data pipelines on Microsoft Azure, using Python to integrate and transform customer data for analytics and AI workloads.
Build and maintain scalable data pipelines on GCP (BigQuery, Dataflow) to power analytics and decision-making for a fintech brokerage.
Builds and scales GCP-based data pipelines and BigQuery models to feed analytics and decision-making systems.
Build and optimize AWS-based data pipelines and ML workflows using SageMaker, Kinesis, Glue, and Redshift, ensuring low-latency real-time and batch processing with Python and AWS services.
Build a real-time reporting layer for finance using data architecture and ML to improve reporting and analytics.
Field-based role setting up and maintaining data-acquisition systems for oil and gas well testing, troubleshooting equipment, and ensuring accurate real-time data delivery to supervisors and clients.
Designs and builds scalable data pipelines on GCP using BigQuery, Dataflow, and Pub/Sub, with Python and SQL.
Builds and maintains scalable data pipelines on GCP using BigQuery, Dataflow, and Pub/Sub, with Python, SQL, and Apache Beam/Spark.
Builds and maintains scalable AWS data pipelines with Python, PySpark, Glue, and Airflow for a major bank in Sydney.
Indigeco Pty Ltd is seeking an experienced Cloud Data Engineer for a 6-month contract to design and implement enterprise data pipelines, cloud platforms, and production-ready data solutions. The role is hybrid, with…
Build and modernise client data pipelines using Microsoft/Azure tech, then deliver analytics tools that turn raw data into business insights across industries.
Builds self-service financial dashboards and data pipelines in Python/SQL Server with Databricks, integrating AI processes for internal stakeholders.
Builds and maintains Azure-based data pipelines and APIs for a new regulatory platform, working in a hybrid, greenfield environment.
Builds and scales reliable data pipelines on GCP using Dataflow and BigQuery, ensuring high data quality and efficient processing for analytics and ML workloads.
Design and maintain cloud data pipelines and enterprise analytics systems to deliver high-quality data for business decisions.
Leads end-to-end data projects on Microsoft’s Azure Synapse and Power BI stack, designing and delivering analytics solutions with Databricks.
Designs, builds, and maintains GCP-based data pipelines and analytics solutions using SQL, Python, BigQuery, and Dataflow.
Builds and optimizes SQL Server data pipelines, stored procedures, and ETL workflows using Azure tools and Python for a 6-month contract in Brisbane.
Designs and builds scalable data pipelines and analytics platforms using Microsoft Fabric, and develops Power BI dashboards and semantic models for data-driven decision-making.
Designs and builds scalable batch and streaming data pipelines on GCP using BigQuery, Dataflow, Pub/Sub, Python, and SQL for ETL/ELT workflows.
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