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Senior Data Engineer (Snowflake / Redshift)
Senior Data Engineer builds and optimizes cloud data platforms using Snowflake and Redshift to power analytics and reporting across a fintech organization.
Analytics Data Engineering
Builds and maintains Qlik Sense dashboards and data models, pulling from Snowflake/SQL Server to deliver interactive analytics for business users.
Data Engineer
Build and maintain scalable data pipelines and cloud infrastructure using Python, SQL, Airflow, Snowflake, and BigQuery to power analytics and decision-making.
Data Engineer
Designs and maintains Snowflake-based data warehouses with dbt, builds ETL pipelines in Informatica, and automates jobs with Control-M and UNIX scripts.
Data Engineer
Designs and maintains ETL pipelines, data models, and Power BI datasets, integrating ERP and CRM systems like Dynamics 365 and Salesforce.
Data Engineer
Builds and maintains scalable ETL pipelines on Databricks and AWS to turn raw data into clean, analytics-ready datasets for reporting and Power BI.
Data Engineer
Build and maintain scalable data pipelines using Databricks, GCP, and Azure to power AI models, RAG search, and analytics for a global enterprise.
Data Engineer
Designs and maintains scalable data pipelines using Snowflake, dbt, Airflow, and AWS to power enterprise analytics platforms.
Data Engineer
Build and maintain Snowflake data pipelines that move financial data between Oracle and client warehouses, enabling ESG reporting and analytics with Row Level Security.
Operational Excellence & AI Data Engineer
Build and deploy AI-driven analytics, automation, and data solutions to streamline reinsurance operations using Python, SQL, Power BI, and C#/.NET.
Data Engineer - BigQuery
Designs and builds scalable GCP data pipelines using Dataflow, BigQuery, and Airflow to ingest, process, and store data for analytics and operations.
Data Engineer (Microsoft Fabric)
Builds and scales a Microsoft Fabric-based data lakehouse, integrating Dataverse and enterprise systems, and enabling Power BI reporting and AI initiatives.
Microsoft Fabric Data Engineer
Builds and optimizes enterprise data pipelines and Lakehouse layers using Microsoft Fabric, Power BI, and Dataverse to support AI-driven analytics and reporting.
Data Engineer
Build and maintain scalable data pipelines with Spark to collect, store, and process iGaming data, then deliver dashboards and reports for data-driven decisions.
Data Engineer
Designs and maintains data pipelines, ETL processes, and data warehousing solutions using Databricks, Python, PySpark, and Azure Data Factory to ensure efficient data flow and quality.
AI Data Engineer
Builds end-to-end data pipelines in Snowflake and AWS, transforming raw data into AI-ready features for an internal AI platform used across marketing and analytics teams.
Data Engineer
Build and maintain Snowflake data pipelines and warehouses that centralize fund data, automate reporting, and power client-facing analytics dashboards.
Data Engineer / Senior Data Engineer
Build and maintain scalable ETL/ELT pipelines in Azure Data Factory and Databricks to feed Manulife’s data warehouse, ensuring data quality and governance while collaborating with analysts and scientists.
Data Engineer
Build and maintain scalable data pipelines using Databricks, GCP, and Azure to power AI models, RAG search, and enterprise analytics for a Fortune 500 company.
Operational Excellence & AI Data Engineer
Build and deploy AI-driven analytics, automation, and data solutions to improve operational efficiency in insurance/reinsurance, using Python, SQL, Power BI, and C#/.NET.