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Senior / Data Engineer
Senior Data Engineer builds and maintains data pipelines, warehouses, and models for a government-linked agency, using cloud tech, Databricks, and Python/SQL.
Senior Data Engineering Lead – AWS & Databricks (Healthcare)
Lead data engineering projects for a Singapore-based healthcare tech firm, designing AWS and Databricks-based lakehouse architectures and collaborating with stakeholders.
Data Engineer (Databricks)
Build and maintain production-grade data pipelines on Databricks and AWS, using PySpark, Delta Lake, and structured streaming to feed AI/ML and BI workloads.
Senior Manager - Data Engineering solutions (Engineering)
Leads a team to design and implement data warehousing, lakehouse, and analytics solutions using AWS, Databricks, and Informatica IDMC for a healthcare-focused product company.
Data Engineer – Databricks & AWS
Build and maintain enterprise data platforms using Databricks, AWS, and Apache Spark, including ETL pipelines, data warehousing, and performance optimization.
Data Engineer III - Python/Spark/AWS
Build and maintain scalable data pipelines and cloud-native analytics platforms using Python, Spark, and AWS services to support JPMorgan’s global consumer banking operations.
Data Engineer
Builds and maintains data pipelines, analyzes datasets, and creates visualizations using Python, SQL, and tools like Power BI or Databricks.
Senior Data Engineer
Build and scale the data platform powering Unravel Carbon’s AI-driven decarbonization engine, designing pipelines, warehouses, and quality checks to convert accounting data into supply-chain carbon insights.
M23 - Data Engineer
Build and maintain scalable data pipelines and platforms for geospatial analytics to support education planning and infrastructure decisions using Python, SQL, and cloud-native tools.
M19 - Data Engineer
Designs and maintains scalable ETL/ELT pipelines, cloud data platforms (AWS/Azure/GCP), and Databricks solutions to support enterprise analytics and reporting.
Senior Software Engineer, Data & AI Infra
Build and maintain scalable data infrastructure (Kafka, Flink, Spark, Databricks) to power AI initiatives and analytics at a global fintech payments platform.
Hiring for Data Engineer-DataBricks
Optimize AWS, Databricks, and Informatica resources to cut costs while ensuring performance and scalability for data pipelines.
Data & AI Engineer (Python)
Builds scalable data pipelines and full-stack apps in Python to integrate AI logic, using PySpark, Databricks, and modern DevOps practices for analytics and insights.
Data Engineer
Designs and builds scalable AWS and Databricks data pipelines for public-sector and enterprise clients, using PySpark, SQL, and real-time tools like Kafka to power analytics and decision-making.
Consultant - Data Engineer (AI-Enabled Data Engineering)
Design and build AI-ready data platforms and ML pipelines for analytics, GenAI, and RAG systems on AWS/Azure/GCP, ensuring production-grade delivery and MLOps practices.
Data Engineer-Consultant
Build and maintain scalable data pipelines, master data management systems, and cloud-based analytics infrastructure using Spark, Kafka, and cloud services.
Data Engineer (Geospatial Team)
Build and maintain scalable data pipelines and platforms for a geospatial engine that forecasts education demand using housing, demographic, and land-use data.
Senior Data Engineer, Compliance Data Infrastructure
Build and maintain scalable data pipelines for a global crypto exchange, enabling AML monitoring, KYC/KYB, sanctions screening, and regulatory reporting with AI-assisted engineering and strict auditability.
Data Engineer (Databricks)
Build and maintain scalable data pipelines on Databricks and Azure, integrating diverse sources and ensuring high-quality data for analytics and ML workloads using PySpark, Spark SQL, and Delta Lake.
Data Scientist - AI,ML
Build and deploy AI/ML models (time-series, CV, NLP) to solve business problems, lead end-to-end ML projects, and collaborate with engineers to ship models to production.