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As an Azure Data Engineer specialized in Microsoft Azure tools, you will support the implementation of projects focused on collecting, aggregating, storing, reconciling, and making data accessible from disparate…
Designs and leads enterprise-scale AI and analytics platforms, including GenAI, RAG, and cloud-native architectures on Azure, while setting standards and mentoring teams.
Build and maintain scalable Azure-based data pipelines and analytics-ready datasets using Azure Data Factory, Databricks, and Synapse.
Lead the design, migration, and optimization of SQL databases and cloud platforms (Azure, Snowflake) to modernize data infrastructure for business intelligence and reporting.
About Four Seasons: Four Seasons is powered by our people. We are a collective of individuals who crave to become better, to push ourselves to new heights and to treat each other as we wish to be treated in return. Our…
Designs and maintains scalable data pipelines and analytics solutions for automotive software platforms using PySpark, Databricks, and Azure services to support data-driven decisions in vehicle development and operations.
Lead a team building AI-first data products for financial services using PySpark, Java, and Databricks to modernize a strategic data mesh and automate governance, lineage, and data quality.
Lead a team to design and maintain scalable data pipelines and analytics platforms for gaming clients using Microsoft and Azure cloud technologies, with a focus on Databricks and Snowflake.
Design and implement enterprise Master Data Management solutions to unify customer and product data into a single source of truth, ensuring data integrity and governance across systems.
Senior Data Engineer builds and scales Apna’s data platform, designing pipelines, lakehouse architecture, and query systems to power analytics, ML, and business decisions.
Designs and builds a new enterprise data lakehouse using Microsoft Fabric and Azure, integrating Salesforce and other GTM systems to power AI-driven analytics and sales intelligence.
Designs and oversees credit-risk platforms and AI-enabled analytics for a fast-growing fintech firm, ensuring scalable, compliant architectures and robust integration patterns.
Designs and governs AWS-based data lake and cloud data architectures for a digital banking platform, ensuring scalability, security, and reliability for analytics and machine learning.
Title: Business Systems Manager, Corporate Systems Department: Information Technology Location: Boston, MA Type: Full Time Reports To: Director, Business Systems BAIN CAPITAL OVERVIEW: With approximately $225 billion…
Leads Agile teams to develop and maintain credit risk engines (e.g., PD, EAD, LGD) while ensuring regulatory compliance and data lake integration; bridges business, risk, and tech stakeholders to deliver compliant, high-quality solutions.
Build and maintain a centralized data warehouse using Python/Scala, PySpark, and Azure Databricks to power ETL, reporting, and analytics for healthcare revenue cycle management.
Builds and maintains a centralized healthcare data warehouse using Python/Scala, PySpark, and Azure Databricks to power ETL, reporting, and analytics across the company.
Design and implement Damen’s data architecture, modeling data flows and standards to support a data-driven maritime business using Azure, SAP, and other enterprise systems.
Build cloud-native data infrastructure (Data Lake, Data Mesh) and scalable services in AWS to power scientific publishing workflows using Java, TypeScript, and modern data engineering tools.
Supports the Threat Intelligence Data & Engineering function by analyzing cyber threat data, developing visualizations, and automating data processes using technologies like Python, SIEMs, TIPs, and data visualization tools.
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