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Design and build modern Microsoft Fabric data platforms, from architecture to implementation, while advising clients and shaping reusable solutions.
Build and maintain scalable data pipelines and lakehouse infrastructure for adtech analytics, using Python, Spark, Airflow, and Kafka to deliver sales and finance data to leadership.
Design and maintain ETL pipelines and data models for risk management and regulatory reporting in a bank’s data warehouse, using SQL, Bash, and relational databases.
Design and build data systems for risk and regulatory reporting at a bank, including ETL pipelines, data models, and SQL-based analytics in a secure, hybrid environment.
Builds and maintains data warehouses and BI solutions using SAP BW/BW4HANA, SAC, and Datasphere for enterprise clients.
Thermo Fisher Scientific is seeking a Lead Database Engineer to design, build, and optimize AWS-based data lake and data warehouse platforms. You will lead database architecture, performance tuning, data quality,…
Designs and maintains scalable data pipelines and warehouses to feed analytics and reporting for a direct-selling business.
Build and maintain analytics and reporting solutions using IBM Cognos and Power BI, extracting and transforming data to deliver insights that drive retail banking decisions.
Lead the build of data pipelines and AI integrations for a fintech platform, using dbt, BigQuery, Airflow, and LLM APIs to ensure reliable, secure analytics and agent workflows.
Leads the design and implementation of modern, cloud-based data platforms and analytics solutions to improve business intelligence and regulatory compliance.
Senior engineer building scalable data pipelines and infrastructure for a payments data platform that powers analytics, AI models, and consumer payment experiences.
Intern role ensuring high-quality annotated data for AI models by developing quality pipelines, SOPs, and evaluating outputs for Shopee’s e-commerce and AI systems.
Builds and maintains data pipelines, ETL jobs, and dashboards for a government authority using Python, PySpark, Cloudera, and Tableau.
Build and own BigQuery-based data pipelines and derived products (e.g., user segmentation) that feed marketing and CRM platforms like Salesforce for a global customer.
Build and maintain a modern Azure-based data platform (Lakehouse) and ETL pipelines, turning stakeholder needs into reliable data products for analysis and reporting.
Designs and builds scalable GCP data pipelines and warehouses, focusing on BigQuery, Dataflow, and Data Fusion to enable data-driven decisions and insights.
Build and maintain a centralised Microsoft Fabric data warehouse using PySpark and SQL, applying medallion architecture to turn raw source data into trusted, analytics-ready products for CommBank.
Build and maintain cloud-based data pipelines and warehouses in Azure to power automotive industry analytics, using Synapse, Data Factory, PySpark, and SQL.
Build and deploy Snowflake-based data warehouses and ETL/ELT pipelines in Python, modeling data for analytics and reporting in a fast-paced startup environment.
Builds and maintains Azure-based data pipelines and SQL models to power financial reporting and Power BI dashboards for a fintech-focused media company.
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