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¡Atención, amante de la tecnología! Si eres una persona curiosa, creativa y con pasión por la innovación, ¡esta oportunidad es para ti! Envíe su solicitud a continuación después de leer todos los detalles y la…
Desde ISPROX buscamos para uno de nuestros clientes del sector tecnológico un/a Senior DevOps Engineer especializado/a en AWS. Te incorporarás a un equipo de Professional Services, trabajando de forma cercana con el…
Role Description Location: Vancouver, BC Job Summary We are seeking a highly skilled Lead Data Scientist with a strong foundation in AI/ML engineering to join our dynamic team in Vancouver. The ideal candidate will…
The Data Scientist will lead the development and implementation of machine learning and AI products within Fraser Health to improve clinical outcomes. The role involves managing the full ML lifecycle, from data integration and model development to production deployment and stakeholder communication.
Build something people love Wealthsimple is Canada’s leading financial innovator. The company offers a full suite of simple, sophisticated financial products across managed investing, do-it-yourself trading,…
Senior Data Architect leading end-to-end big data platform design and implementation on AWS, including data pipelines, data lakes, and analytics/AI enablement for enterprise clients, with up to 50% travel across Canada.
Senior Data Engineer building and maintaining data products and pipelines for Prima's pricing and underwriting domain, working with Kafka, Flink, Spark, Python, AWS, and SQL databases.
Build and maintain scalable ETL/ELT pipelines and data warehouses for a SaaS real-estate platform using AWS, dbt, Redshift, and Postgres.
Databricks Expertise (Essential) DVT is one of Africa’s leading software development consultancies, partnering with top organisations across South Africa and globally to deliver innovative, enterprise-grade technology…
The Data Engineer will develop and maintain an AWS-based data platform, focusing on building and operating data pipelines using tools like S3, Redshift, and Apache Airflow.
Solstice is seeking a Data Engineer to build and own the end-to-end data foundation for their pharmaceutical marketing and media measurement platform. The role involves designing pipelines to ingest, reconcile, and model complex third-party data using Python, SQL, and modern cloud data stack tools.
Build and maintain data pipelines using SQL, Python, and cloud tools to power AI-driven decisions across ZURU’s global operations.
The Quality Assurance Engineer will ensure data accuracy and reliability by testing complex ETL/ELT pipelines and data platforms within an Agile environment. The role focuses on automation-first data validation using SQL, scripting languages, and modern data platforms like Snowflake or Databricks.
Senior Data Engineer at EY designing, building, and operating enterprise-scale AWS Lakehouse platforms using Spark, dbt, Iceberg, and QuickSight to deliver analytics, reporting, and AI-ready data solutions for clients.
Design, build, and maintain scalable data pipelines and cloud-based data platforms on AWS using Python, collaborating with analysts and scientists to support analytics and BI initiatives.
This role involves designing and maintaining scalable data pipelines and cloud infrastructure on AWS to support analytics and AI initiatives. The engineer will collaborate with cross-functional teams to manage data integration, migration, and governance using Python, SQL, and Terraform.
Senior Data Solutions Engineer providing data consultancy to clients—designing cloud data platforms on Azure/AWS, leading architecture and delivery across the data lifecycle, and mentoring project teams.
Senior Data Engineer building real-time and batch data pipelines for a programmatic advertising platform, using Python, SQL, Kafka, and cloud data warehouses (BigQuery/ClickHouse) on AWS/GCP.
Build and maintain Java/Spring Boot REST APIs and AWS-based data pipelines for a major investment client, handling real-time streams, CDC, and regulatory compliance.
The Analytics Engineer will design and maintain data transformation layers and dimensional models to support BI reporting. The role involves collaborating with stakeholders to define requirements and building reliable analytics infrastructure using SQL, dbt, and modern data warehouse technologies.
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