11 total jobs
5 new jobs this week
Build and maintain AWS-based data pipelines and lake architectures, using Spark and PySpark to process large datasets while improving data reliability, security, and freshness.
Build and maintain AWS-based data pipelines and lake architectures, using Spark and related services to deliver reliable data processing, support analytics teams, and improve data quality and freshness.
Build and maintain scalable AWS data pipelines and lake architectures, using Spark and PySpark to process large datasets while improving data reliability, security, and freshness.
Build and support production data pipelines and transformations for healthcare data products, owning pipeline components, resolving data quality and performance issues, and collaborating across engineering and business teams.
We are seeking a Data Engineer with 2+ years of experience to develop and modernize data solutions for an international project.
Own the data plane powering analytics and AI products by building ingestion pipelines, transformation models, and serving layers that turn fragmented insurance data into trustworthy datasets.
As a Backend AI & Data Pipeline Engineer, you will design and maintain scalable data processing infrastructures that enhance Yuzee's intelligent course and job matching platform.
Build and operate distributed data systems that ingest, process, enrich, and deliver data reliably, while improving pipeline performance, data contracts, observability, and production reliability.
As a Junior Data Engineer, you will monitor production pipelines, resolve incidents, and enhance data operations to ensure stability and efficiency.
Conceive, build, and optimize scalable data pipelines on Google Cloud, ensuring data quality and integrating data workflows with existing applications and services.
Develop data solutions using Apache NiFi, applying strong Java skills and working with GCP, Bitbucket, and Kafka to build and improve data pipelines alongside cross-functional teams.
