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Inetum is seeking a Data Engineer to build and maintain data pipelines using Spark 3, Java, and Kubernetes. The role involves orchestrating workflows with Airflow and managing data via Trino within a banking environment.
Experienced Data Engineer designing, developing and operating data platforms and pipelines with a focus on Snowflake, SQL and Python within an IT consulting firm.
This Data Engineer role involves building and maintaining data pipelines and BI solutions for an energy sector client using DBT, Snowflake, Airflow, and Power BI. The position focuses on industrializing data production, modeling, and performance optimization within a governed data fabric environment.
The DevOps Engineer will develop Cloud infrastructure services (IaaS and PaaS) and industrialize software delivery practices using Python and Airflow within an Agile team.
Senior Full Stack Developer building critical applications in an agile team using Java, Spring, Spark, TypeScript, Angular, and various data/DevOps tools for an industrial engineering consultancy.
Hands-on Snowflake Data Architect/Engineer designing and implementing Snowflake data solutions, integrating ETL and cloud services, and building CI/CD pipelines for scalable data platforms using Snowflake, DBT, and Airflow.
Design and build scalable Snowflake data solutions for financial clients, integrating ETL pipelines and cloud tools while optimizing performance and collaboration.
The Data Engineer will design and maintain scalable data pipelines and infrastructure for the LANDCROS Connect Insight platform. The role involves working with big time-series data using technologies like Snowflake, Python, and cloud-based data processing frameworks.
Senior Data Engineer responsible for maturing and supporting the data platform at an auto collision repair company, collaborating with IT, business stakeholders, and vendors using AWS, Airflow, SQL, and cloud DevOps practices.
Data Engineer consultant designing and implementing cloud-based data integration projects using Python, SQL, Spark, Snowflake, dbt, Airflow, and Databricks for clients in a hybrid Quebec office role.
The Senior Data Engineer will design and build the company's data platform, including pipelines, data models, and orchestration systems. The role focuses on scaling data infrastructure using Python, SQL, and cloud-based data warehousing technologies.
Builds and maintains data pipelines, warehouses, and cloud-based analytics platforms to support business decisions in collision and glass services, using AWS, Python, and ETL tools.
The Data Foundations Software Engineer will design and maintain data pipelines, models, and tools to support Stripe's internal data needs. The role involves working with technologies like Scala, Spark, Airflow, and SQL to build scalable data infrastructure and data-driven applications.
Build and maintain batch/streaming data pipelines using Python and SQL, validate data quality, and document workflows in an Agile team.
Designs and builds data models, pipelines, and analytics foundations for Relay’s Last Mile logistics AI systems, ensuring real-time operational decisions and strategic insights while collaborating with cross-functional teams.
Senior Analytics Engineer designing, building, and scaling the PlayStation Partners Platform analytics layer using dbt, advanced SQL, cloud data warehouses, and BI tools to deliver trusted, well-governed data products.
The Senior Data Analytics Engineer will design and maintain curated datasets and standardized metrics to serve as a single source of truth for an EdTech company. The role involves building reliable data pipelines, collaborating with cross-functional teams, and supporting internal AI data tools.
Build and maintain a secure data platform for cyber analytics and GenAI, integrating security data and enabling ML-driven threat detection.
The Data Platform Engineer will design and build scalable data pipelines, analytics platforms, and data warehouse solutions to support game infrastructure. The role requires strong data engineering expertise and the flexibility to contribute to backend, infrastructure, and SDK development.
The Senior Data Platform Engineer will design and maintain scalable data architectures to support cybersecurity threat detection and analytics. The role involves building data pipelines using Python, SQL, Spark, and cloud-based big data tools while implementing DevOps practices.
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