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Build and scale a cloud-native data platform in Snowflake, owning ELT pipelines, data models, and governance to deliver trusted analytics and self-service capabilities for a fintech client.
Design and build scalable cloud data pipelines using Azure Data Factory, Snowflake, and Databricks to power analytics and reporting for enterprise clients.
Build and deploy AI solutions using LLMs, ML models, and data pipelines to generate healthcare insights, automate recruiting, and personalize user experiences.
Senior data engineer building AI-driven analytics and automation tools to optimize operations for Marsh McLennan’s Asia Pacific teams.
Designs and builds Snowflake-based data pipelines using SnowPipe and dbt for ingestion, transformation, and governance across ANZ clients.
Build and optimize Snowflake data pipelines, ETL/ELT workflows, and GenAI integrations using Snowpark and Cortex AI features.
Design and build cloud-native data pipelines and AI solutions using AWS and Snowflake, ensuring scalable, secure, and high-performance data infrastructure for analytics and AI initiatives.
Lead the design and delivery of enterprise-grade AI and data solutions, architecting scalable systems and mentoring engineers while driving GenAI adoption on AWS.
Senior Data Engineer builds and optimizes cloud data platforms using Snowflake and Redshift to power analytics and reporting across a fintech organization.
Build and maintain ETL pipelines using Python, PySpark, AWS Glue, Step Functions, and Lambda to process and transform data for reporting and analytics.
Analyzes environmental, health, and safety data to manage carbon accounting and ESG reporting for global operations.
Oversee construction project budgets, track costs and resource use, and deliver accurate dashboards and cost records using Excel and engineering tools.
Builds and maintains Qlik Sense dashboards and data models, pulling from Snowflake/SQL Server to deliver interactive analytics for business users.
Build and maintain scalable data pipelines and cloud infrastructure using Python, SQL, Airflow, Snowflake, and BigQuery to power analytics and decision-making.
Builds and maintains Azure-based data pipelines and ETL workflows using Azure Data Factory, Synapse, Databricks, and Spark, while ensuring data quality and performance.
Designs and maintains Snowflake-based data warehouses with dbt, builds ETL pipelines in Informatica, and automates jobs with Control-M and UNIX scripts.
Design and maintain modern data solutions using Microsoft Azure, Fabric, and Python pipelines for innovative projects.
Design and maintain scalable data pipelines, ETL processes, and warehousing solutions using Python, SQL, and Kafka to support analytics and reporting.
Designs and maintains ETL pipelines, data models, and Power BI datasets, integrating ERP and CRM systems like Dynamics 365 and Salesforce.
Designs and deploys AI systems for healthcare insights and recruiter automation using Python and machine learning.
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