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Build and optimize AWS-based data pipelines and products using Python, PySpark, and Scala to power CommBank’s Business Banking analytics and AI-driven solutions.
Leads data engineering initiatives for an insurance company, designing and building scalable pipelines on AWS, Databricks, and Snowflake to support AI/ML, analytics, and business intelligence.
Build and maintain ELT pipelines and data models on Databricks to power analytics and reporting for a cloud-based clinical system used by clinicians across the UK and France.
Builds and optimizes scalable data pipelines in PySpark and Databricks to power advanced analytics and AI initiatives for a global consulting firm.
Senior Data Analyst at Mastercard builds and maintains data pipelines, models, and dashboards to drive business insights for global fintech products. Uses SQL, Python, BI tools, and big data platforms to analyze transactional and operational data for revenue optimization, risk assessment, and strategic decision-making.
Build and maintain climate risk data pipelines and models for a major bank, integrating ESG data to support regulatory disclosures and risk metrics.
Develops and maintains financial applications for Citi, analyzing business needs, designing systems, and implementing solutions using Ab Initio and Spark/PySpark to handle high-volume data processing in compliance with regulatory standards.
Builds and maintains data pipelines, integrates financial/operational data, and applies analytics (SQL/Python/Databricks) to support DHS decision-making in financial management and IT programs.
Build and maintain scalable data pipelines on Databricks using PySpark, Delta Lake, and cloud services to transform raw data into insights for analytics and AI workloads.
Builds and deploys ML models to analyze store equipment telemetry data, using Python, PySpark, and Azure cloud tools to drive operational insights and efficiency.
Designs and optimizes complex data pipelines, frameworks, and architectures for Amgen’s healthcare data, leveraging Databricks, Spark, and AWS to enable self-service analytics and AI-driven insights.
Analyzes structured/unstructured data for the U.S. Marine Corps, building dashboards, pipelines, and visualizations to support strategic decisions and communication strategies using Python, SQL, and Microsoft Power Platform tools.
Design and build scalable data pipelines using Databricks, Spark, and AWS to enable analytics and AI-driven insights for a biotech company.
The Senior Data Engineer will design, build, and maintain scalable data pipelines and platforms to support enterprise reporting and AI-driven initiatives. The role utilizes technologies such as Azure, Databricks, Snowflake, and dbt to ensure high-quality data availability for the foundation's mission-driven work.
The Cloud Engineer builds and maintains scalable data solutions on Azure and AWS using Databricks, Spark, and Python. The role focuses on data ingestion, pipeline development, and supporting FinOps initiatives through cross-functional collaboration.
The Senior Cloud Engineer designs and supports scalable cloud data platforms using Azure, AWS, and Databricks. The role focuses on building ETL/ELT pipelines, API integrations, and automation to support FinOps and enterprise data initiatives.
The Data Engineer will design, build, and maintain data pipelines and analytics-ready datasets using Microsoft Fabric and Azure cloud services to support organizational reporting and operations. This role involves collaborating with stakeholders to ensure data quality, lineage, and compliance with government ICT standards.
The Advanced Analytics Engineer will design and build scalable data pipelines and workflows to support AI and machine learning initiatives at Oliver Wyman's new Lisbon hub. The role requires expertise in Python, PySpark, and Databricks to process structured and unstructured data within a hybrid work environment.
A Junior Data Engineer building Azure Databricks data pipelines, implementing Delta Lake and medallion architecture, and supporting Databricks Genie deployment for a modern data platform.
The Senior Data Engineer will design, deploy, and manage containerized data pipelines and lakehouse architectures. The role requires expertise in SQL, Python, Kubernetes, and orchestration tools like Apache Airflow to build robust, scalable data solutions.
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