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The Senior Data Engineer will build and maintain Databricks pipelines to process real-time IoT telemetry data into reliable assets for analytics and AI. This hybrid role requires strong expertise in PySpark, SQL, and modern data engineering practices, with a focus on leveraging AI-assisted coding tools.
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 Governance Analyst supports the implementation of data governance and quality management programs across the APAC region. The role involves monitoring data quality, coordinating with stakeholders, and utilizing tools like Alteryx, Python, or R to perform data analysis and reporting.
The Vice President of Data Governance supports the implementation and operationalization of regional data governance frameworks, policies, and controls within the banking sector. The role acts as a subject matter expert, advising stakeholders on data quality, lineage, and metadata management while leading governance workstreams for strategic projects.
The Senior Data Engineer will develop and optimize scalable data models and ELT pipelines in Snowflake, focusing on SAP procurement data to support AI-ready datasets. The role involves complex SQL transformations using dbt, performance tuning, and close collaboration with AI and cloud engineering teams.
Leads clinical data science strategy and team execution for a global pharmaceutical company, translating complex clinical and real-world data into regulatory-ready insights to inform drug development, submissions, and health authority interactions.
The Principal Architect will lead enterprise-wide data architecture and governance strategies for retail banking and payment systems. The role involves designing scalable data ecosystems, ensuring regulatory compliance, and mentoring senior architects to support business growth.
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.
Data Governance Consultant developing and executing data governance strategies, frameworks, and quality programs at AIA Singapore, using tools like Data360, Databricks, SQL, and BI platforms.
Senior AML Systems BA/PM overseeing AML systems strategy, governance, and operations at AIA Singapore, translating regulatory and AI governance requirements into technology solutions and leading cross-functional FCC projects. Core systems include AML platforms (NICE Actimize, LexisNexis, Dow Jones), transaction monitoring, and AI-enabled compliance tools.
Lead/Principal-level Data/AI Architect at BCG Platinion advising clients on modern data architectures, governance frameworks, and AI-ready strategies across cloud platforms (AWS, Azure, GCP, Snowflake, Databricks) with a focus on strategic guidance rather than hands-on implementation.
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.
The Data Governance Foundation Lead Analyst is responsible for contributing to the directional strategy and assisting in creation and modification of Enterprise Data Governance Strategy, and/or Data Risk and Control…
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.
Early-career Data Engineer building scientific data products and scalable data pipelines using Databricks, SQL, Python, and AWS to support AI/ML and analytics across pharmaceutical product development in Hyderabad.
Cloud Data Engineer on the Cloud Strategy team designing, optimizing, and governing GCP-based data platforms with a strong emphasis on FinOps, cost optimization, and performance tuning of BigQuery, Dataproc, and Dataflow workloads.
Architects and governs the Workforce data domain at JPMorgan Chase, designing canonical models and curated data products using Databricks and SQL.
The Machine Learning & Data Operations Engineer will build and maintain ML/AI infrastructure to support drug discovery, focusing on model deployment, scalable inference, and robust data pipelines. The role involves managing the full lifecycle of models and data quality using technologies like Kubernetes, Python, Go, and various cloud-native tools.
The Senior Data Analyst will lead the design, development, and management of the enterprise data platform, focusing on data integration pipelines using Azure Data Factory and Informatica. The role involves managing cloud data warehouses, driving data modeling strategies, and ensuring data governance and quality standards across the organization.
This role leads medical data governance and knowledge management initiatives at Takeda's Innovation Capability Center in Bengaluru. The lead will develop medical ontologies, maintain business glossaries, and ensure data quality and traceability to support AI-enabled capabilities and global medical operations.
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