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Embedded within our in-house creative studio, the Creative Project Traffic Manager oversees the full lifecycle of creative projects—from intake to delivery across print, digital, multimedia, and other marketing…
It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. Fractal is a strategic AI partner to Fortune 500…
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated…
ARG SSR Data EngineerCountry: Argentina ES EL MOMENTO Santander () está evolucionando de ser una marca global de alto impacto a una organización impulsada por la tecnología , y las personas están en el centro de este…
Lead Program Architect integrating multiple solution and cyber architecture designs into a unified program roadmap for a Federal Government agency (NDIS), mentoring architects and aligning designs with enterprise strategy using TOGAF.
Scrum Master leading agile squads and PI planning for a federal government agency (NDIS), using Jira, Confluence, and SAFe methodology in a hybrid contract role across Australian east-coast states.
This Data Engineer role involves designing data pipelines, modeling data warehouses, and migrating decision-making platforms to the cloud using Spark, SQL, and Databricks. The position requires strong technical expertise in data transformation and quality, alongside the ability to collaborate directly with business stakeholders.
Data Engineer on a 12-month contract migrating a decisional platform to the cloud, designing data warehouses, building Spark pipelines, and ensuring data quality using Spark, SQL, and Databricks.
Data Engineer focused on Snowflake for banking client projects—building data ingestion, transformation flows, and CI/CD pipelines using Snowflake, Python, SQL, and PySpark.
As a Data Engineer at Davidson, you will design, develop, and maintain scalable ETL/ELT data pipelines and data warehouses on Google Cloud Platform. You will work with technologies like BigQuery, Python, SQL, and Airflow to support data-driven projects for various clients.
Senior Data Engineer on Lyft's Mapping team, building scalable data pipelines, offline experimentation tooling, and route simulation services using AWS, Databricks, Kubernetes, Airflow, and Spark.
Data Engineer responsible for designing, maintaining, and improving data lakes, pipelines, batch and real-time processing systems, and metadata infrastructure using Python, AWS services, and big data technologies.
This role involves managing Hadoop infrastructure and building scalable data pipelines to support data scientists. The engineer will work with technologies like Spark, Kafka, and Hive to process batch and near-real-time data streams.
The Data Engineer will design and optimize big data processing pipelines using Apache Spark, Scala, and Elasticsearch within the Quantexa software ecosystem. The role involves collaborating with cross-functional teams to implement scalable data solutions on OpenShift and supporting compliance-focused financial projects.
The Data Engineer will design and maintain scalable data infrastructure and ETL pipelines to support analytical and operational business needs. The role requires proficiency in Python, SQL, and various big data processing tools within cloud environments.
Design and build streaming and batch data pipelines on AWS (Kafka, Spark/Flink, S3 lakehouse) for Pirelli's manufacturing Data Platform, transitioning legacy systems to a data-driven architecture while supporting global production plants.
Retail Operations Coordinator Location : Remote, Canada Position Type : Full-Time Reports to : VP of Retail Operations About Hive Hive Retail Solutions is a growing Canadian sales and merchandising agency representing…
Senior Data Analyst builds and maintains ETL pipelines, analyzes large datasets, and creates visualizations using Python, SQL, and tools like Tableau or Spark in Moscow.
Data Engineer & Analyst on RBC's Retail Credit technology team, building ETL pipelines, data models, and climate risk analytics using Python, PySpark, and SQL to support climate risk disclosures and regulatory governance.
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