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Data Engineer building and maintaining data pipelines, modeling data in SQL and Python on Azure, and developing APIs for NN Group's insurance underwriting team in The Hague.
Java Full Stack Engineer at PwC's Data & Analytics Advisory practice in Bengaluru, building and modernizing enterprise microservices with Spring Boot backends, React/Angular frontends, Kafka event-driven systems, and Azure deployment.
The Data Architect will assess and modernize a client's legacy MsSQL and SSIS-based data warehouse environment into a modern cloud-based enterprise data platform. This role involves defining architectural roadmaps, redesigning data models, and establishing data governance standards.
The Data Engineer will build and maintain ETL/ELT pipelines to ingest high-volume network and customer data into an AWS-based data lake. The role focuses on data modeling, transformation using dbt, and ensuring data quality and reliability for analytics across the organization.
Lead the design of secure, governed AI systems for GenAI and agentic platforms, embedding Responsible AI principles into production architectures and assurance frameworks.
The Senior Machine Learning and Artificial Intelligence Scientist will lead the development and production deployment of advanced AI and ML solutions, including generative AI and multi-agent systems, to drive business impact. The role involves working across cloud-native architectures like Azure, Databricks, AWS, and GCP to build scalable, reliable, and governed AI products.
This role involves managing Hadoop clusters and designing data processing pipelines for banking applications. The engineer will work with technologies including Spark, Hive, Elasticsearch, and Informatica to process large volumes of structured and unstructured data.
The Data Architect will lead the evolution of enterprise data platforms and drive transformation initiatives for a leading insurance organization. The role requires expertise in SQL, PostgreSQL, and modern data platforms like Snowflake or Databricks within the London Market insurance sector.
Designs and governs data architecture for AI-ready datasets, pipelines, and analytics at a leading consumer-finance company, focusing on cloud platforms and financial data domains.
Azure Data Engineer for an international banking project, building and maintaining data solutions using Azure Synapse, Data Factory, Data Lake Storage, and SQL Server with Python/PySpark.
Designs and validates data models and pipelines for a large Canadian bank, translating business needs into technical specs and ensuring data integrity across Azure-based systems.
Designs, develops, and maintains data platforms and pipelines to ensure data quality, security, and reliability for fintech operations, integrating on-premises and cloud systems.
Analyst on Disney's Licensing Analytics team using SQL, Snowflake, and Tableau to build dashboards, run retail/marketing analyses, and present data-driven insights to senior executives.
Design and deliver Power BI analytics solutions using Databricks SQL, partnering with business teams at Cineplex to build dashboards, optimize reporting, and drive data-informed decision-making.
Oversees data product development for fintech applications, ensuring data quality, security, and usability for analytics/AI. Bridges business needs with technical teams to modernize data infrastructure, document requirements, and enable natural language querying and AI integration.
The Licensing Analytics Analyst supports Disney Consumer Products by analyzing retail and licensee data to drive business strategy and decision-making. The role involves building data pipelines, creating visualizations, and developing insights using tools like SQL, Snowflake, and Tableau.
The Senior Solution Architect will lead the design and governance of enterprise data and analytics solutions, focusing on cloud-based platforms, AI/ML integration, and secure data architecture. The role involves defining architecture blueprints and collaborating with stakeholders to modernize data infrastructure using AWS and Azure technologies.
This is a summer 2027 Data Scientist internship at Mastercard, where the intern will work with the ONE Data Strategy team on data platform architecture, observability, and analytics. The role involves applying data engineering, machine learning, and visualization techniques to support enterprise data strategy.
Hands-on GCP Cloud Data Engineer building and maintaining ETL/ELT data pipelines, optimizing data infrastructure, and working with healthcare/clinical data using Python, Spark, Kafka, and SQL.
Design and manage ETL/ELT pipelines and workflows using Apache Airflow, Alteryx, and KNIME for a global business travel company, collaborating with analysts and engineers in a hybrid Bangalore office role.
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