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Account Executive, Chemical Manufacturing
What Cognite is: Relentless to achieve Cognite operates at the forefront of industrial digitalization, building AI , and data solutions that solve the world’s hardest, highest-impact problems. With unmatched industrial…
Manager, Engineering (Data Platform)
Lead a team building scalable data pipelines and AI-native infrastructure for a healthcare startup, processing 320M+ patient records to optimize care delivery and reduce costs.
Data Engineer GCP / Hadoop / PySpark (H/F)
Develop and maintain PySpark pipelines and data ingestion flows for a client's Data Lake using GCP and Hadoop in an Agile environment.
Senior Data Engineer - GCP, Hadoop & PySpark (Hybrid)
Builds and optimizes large-scale data pipelines using PySpark in a cloud (GCP) and Hadoop environment, ensuring efficient data processing and transformation for analytics and business intelligence.
Data Engineer Confirmé H/F CDI
Builds and optimizes data pipelines (Kafka, SQL) to support aerospace engineering teams, enabling real-time regulatory data access and collaboration with IT architects. Core tools: DBT, Airflow, Python.
Data Engineer - Manager/Specialist
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.
Data Engineer Confirmé - Pipelines & Python, Télétravail
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.
Engineering Manager, Data
About the Team DoorDash is a data driven organization and relies on timely, accurate and reliable data to drive many business and product decisions. Data is at the foundation of DoorDash success. The Data Engineering…
Associate, Software Engineer (Palm Bay, FL)
Associate Software Engineer developing software for advanced tactical radio equipment, working on embedded systems and real-time controls. Technologies include C++, C#, Java, Python, and various operating systems like Windows, Linux, and VxWorks.
Data Engineer - Data Warehouse, BigData, Python and SQL
Design and build data pipelines and warehouses to handle high-volume processing, integrating complex data structures and ensuring data quality. Work with SQL, AWS tools (Redshift, Glue, EMR), Spark, and Hadoop in a cloud environment.
TechLead / Senior DevOps (MLOps)
Юзтех – группа аккредитованных ИТ-компаний полного цикла разработки с многолетней экспертизой в передовых технологиях: DWH, BigData, AI/ML, Blockchain, BI, предиктивная аналитика, цифровые двойники производства и…
Аналитик
A Business Analyst at MTS in Moscow analyzes data from sources like Greenplum and Hadoop, develops data quality rules, corrects data, consults on data usage, maintains business dictionaries, documents data schemas/ETL, and supports business glossaries. Core technologies include Greenplum, Hadoop, advanced SQL, and Excel.
Аналитик по качеству данных Управления модельных рисков и валидации
Data Quality Analyst in a validation team assessing model effectiveness and risks. Daily tasks include data quality analysis using SQL, PySpark, and Python, creating reports, and automating processes.
Product Analyst
Senior product analyst building seller-facing app metrics, dashboards, and A/B tests using SQL, Python, and big-data tools like ClickHouse and Kafka.
DevOps инженер (Big Data)
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,…
Analytics Engineer
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
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
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.
Senior Data Engineer
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).