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Builds and operates automation for a next-gen data platform, using Python, Kafka, and Kubernetes to improve reliability and observability, while integrating agentic AI for incident triage and proactive recommendations.
Build predictive models and advanced analytics to inform housing policy and risk decisions using Python/R, SQL, and big-data tools like Spark.
Design and build scalable data pipelines and architectures using SQL, Python, Hadoop, and Spark to deliver business insights in a fast-paced AI company.
We are looking for a Data Engineer to manage AI projects & design, build and maintain scalable data pipelines and platforms that support analytics, reporting and data driven decision making. This role works closely…
Designs and builds scalable data pipelines and architectures using SQL, Python, and big data tools like Hadoop and Spark to support business analytics and insights.
Builds and maintains scalable data pipelines, warehouses, and APIs to extract, transform, and integrate data across systems, ensuring accuracy and compliance while collaborating with cross-functional teams in an Agile environment.
Build and maintain scalable data pipelines, ETL processes, and data warehouses using cloud tools like AWS and Python, while collaborating with cross-functional teams to deliver data-driven products.
Designs and maintains scalable data pipelines and architectures using SQL, Python, and big data tools to support AI-driven business solutions in Singapore.
Build and maintain scalable data pipelines, ETL processes, and data warehouses using cloud tools (AWS, Azure, GCP) and SQL/Python to integrate and clean data for analytics.
Designs and maintains scalable data pipelines and warehouses for mission-critical systems, integrating real-time and batch data with Java, Python, Spark, and SQL.
Designs and builds scalable data pipelines and architectures using SQL, Python, Hadoop, and Spark, while mentoring junior engineers and ensuring data governance.
Build and maintain scalable data pipelines using Python, Spark, and cloud services (AWS/GCP) to process and transform large datasets efficiently.
Build and maintain large-scale data pipelines for banking and insurance clients using Spark, Scala, Kafka, and Hadoop in a Big Data environment.
Data scientist role building predictive models, statistical analyses, and simulations for financial risk and business optimization using Python/R and big-data tools.
Lead data-science teams to build AI/ML models and analytics for public-sector clients, shaping policy decisions in areas like health, finance, and mobility.
Build and optimize large-scale Apache Spark data pipelines in Scala/Python for a global IT services provider, ensuring performance and reliability across distributed systems.
Lead a team to design and build advanced analytics solutions using Python, SQL, and big-data tools like Spark, while mentoring junior engineers and applying predictive analytics.
Designs, builds, and maintains enterprise data warehouses, ETL pipelines, and BI dashboards using SQL Server, SSIS, SSAS, and Power BI to deliver analytics and reporting for business decisions.
Builds full-stack Java microservices for a healthcare payer, coding daily in cloud environments and deploying production-ready features across the stack.
Lead a team building a real-time data analytics platform for healthcare, using Java/Spring, Kafka, Spark, and AWS to process and transform medical data for downstream applications.
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