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Data Engineer - Manager/Specialist role at Publicis Groupe in Paris, leading a team to design and implement data pipelines, ETL/ELT processes, and data storage solutions using big data technologies like Spark, Hadoop, Kafka, and cloud platforms including Azure, AWS, and GCP.
The Data Engineer manages data pipelines using DBT, Airflow, and Python, optimizes flows with SQL and Kafka, and participates in deployment via Hadoop and Power BI.
Data Engineer at an IT consulting firm (ESN) responsible for operational maintenance and run of BI, Big Data, and data platforms—ensuring SLAs, managing budgets, leading a team, and governing data systems using Datastage, Spark, Teradata, Hadoop, PostgreSQL, and PowerBI.
Data Engineer in a validation team (with data scientists and methodologists) to assess model effectiveness and risks. Daily tasks include data loading, transformation, error checking, ETL validation, code review, automation, and reporting; core technologies are SQL, Python, and Hadoop/Spark (advantage).
Что нужно делать: Поддерживать и развивать внутренние платформы больших данных. Участвовать в проекте по миграции на новую архитектуру. Осуществлять развертывание, конфигурацию и поддержку серверов, виртуальных машин,…
Design, develop, and automate data pipelines for the Loyalty Data Product Engineering team using PySpark, SQL, and Databricks to maintain data quality and support business stakeholders.
Analytics Engineer working on Loyalty Data Product Engineering team, designing and automating data pipelines using PySpark, Airflow, SQL, and ETL processes to support customer analytics and data quality governance.
Analytics Engineer at Canadian Tire Financial Services working on the Loyalty Data Product Engineering team, designing and developing data pipelines using technologies like PySpark, Airflow, SQL, and cloud platforms to support customer analytics and enhance brand experience.
An Analytics Engineer at Canadian Tire designs, develops, and automates data pipelines for loyalty data, monitors data quality, and supports business stakeholders using technologies like PySpark, Airflow, and SQL.
Builds and maintains data pipelines, ETL frameworks, and AI/Gen AI systems for RBC Wealth Management, ensuring data quality, scalability, and integration with AI agents like the Model Context Protocol (MCP).
Designs and maintains scalable data pipelines, lakes, and warehouses for RBC’s Market Risk ecosystem, ensuring high-quality data assets and business intelligence. Focuses on Java/Scala, big data tools, and cross-functional collaboration to drive technical innovation and compliance.
Job Description The SOC Lead Engineer, DevOps is a specialized technical role responsible for managing and optimizing large scale platform and data operations within the Security Operations Center (SOC). This…
Design, develop, and maintain data solutions using Databricks (Delta Lake, Auto Loader, DLT) and Python/PySpark, creating ETL pipelines, ensuring data quality, and implementing cloud infrastructure (AWS/GCP/Azure).
Job Description: At Globe, our goal is to create a wonderful world for our people, business, and nation. By uniting people of passion who believe they can make a difference, we are confident that we can achieve this…
Company overview: Blue Orange Digital is a data engineering and AI consultancy that builds production-grade data platforms, ML systems, and analytics solutions for companies that take their data seriously. We are not a…
What we offer: Long-term cooperation on an international project. Flexible working hours. Opportunity to influence architecture and technical decisions. Modern technology stack. Supportive, collaborative engineering…
Lead design and development of offline data warehouses, including data modeling, pipeline development, and governance. Requires expertise in big data ecosystems (Hadoop, Spark, Iceberg, Flink) and proficiency in Java, Scala, and/or Python.
Lead Engineer/Engineer responsible for building and maintaining data pipelines, implementing machine learning/AI applications, ensuring data quality and security, and collaborating with stakeholders at the Home Team Science and Technology Agency.
Bambu Lab is seeking a Senior Data Warehouse Lead to architect and drive end-to-end data warehouse initiatives across offline and real-time pipelines. You will build domain-focused solutions, aligning with multiple…
Senior Data Scientist in mBank's Direct Campaigns Department using Python and SQL for probabilistic modeling, NLP, and generative AI to improve CRM and direct sales, working with large datasets and preparing reports/analyses.
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