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The Chief Engineer leads technical execution and delivery for a large-scale government data lake program on AWS. This role focuses on managing engineering standards, team enablement, and operational rigor for a team of 45+ engineers within a classified environment.
The Senior Data Engineer will design and maintain scalable data platforms and analytics solutions while ensuring compliance with banking security and regulatory standards. The role involves processing large-scale data, managing CI/CD pipelines, and mentoring team members using technologies like Python, Java, Scala, and various Big Data frameworks.
The Procurement Data Analytics & Reporting Analyst designs and automates Power BI dashboards and Power Apps to provide actionable insights for procurement and finance. The role involves extracting data from SAP ERP systems and ensuring data governance across global procurement initiatives.
The Principal Data Engineer will lead enterprise data architecture and strategy at Mercedes-Benz USA, designing scalable data platforms and pipelines using Azure, Databricks, and distributed processing frameworks. This role involves setting technical standards, mentoring teams, and delivering data products to support analytics, machine learning, and AI initiatives.
Senior Data Scientist building and deploying machine learning and AI solutions, supporting an enterprise data lake, and delivering analytics across operational, finance, and HR teams using Python, SQL, and modern AI/LLM technologies.
The HR Business Solutions Data Analyst supports the implementation and management of HR data lakes and reporting systems. The role involves analyzing data flows, gathering business requirements, and collaborating with IT and HR stakeholders to improve HR processes through data-driven insights.
Data Engineer at Raiffeisen Bank Ukraine owning the Data Lake platform — designing and operating end-to-end data pipelines (ingestion, transformation, publication) using Python, Spark, AWS, Airflow, Kafka, and Terraform, with mandatory hands-on use of AI coding agents.
Intuit is seeking an experienced Talent Acquisition Analytics Lead (Senior Staff Data Scientist) to join our People Data & Analytics team. Our team partners closely with Intuit's HR leaders, COEs, and business…
About Us Mercedes-Benz USA is responsible for the marketing, sales, and service of Mercedes-Benz and Maybach products in the United States. In our people, you will find tremendous commitment to our corporate values.…
Senior Data & AI Solutions Architect Os profissionais de vendas de campo dependem de suporte técnico proativo durante o processo comercial, e nossa equipe especializada de Engenharia de Sistemas está sempre à…
Overview Who we are Collaborative. Respectful. A place to dream and do. These are just a few words that describe what life is like at Toyota. As one of the world’s most admired brands, Toyota is growing and leading the…
By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice…
Builds and maintains backend services for RBC’s metadata management platform, focusing on Python, MongoDB, and RESTful APIs to ensure data governance, compliance, and scalability in financial services.
Designs and migrates on-premises big data platforms (Netezza) to AWS, building scalable pipelines, ETL/ELT workflows, and real-time data processing systems using AWS services like EMR, Redshift, and Airflow.
Senior Data Engineer at a consulting firm serving financial clients, designing and implementing enterprise-scale data platforms using Microsoft Fabric, building ETL/ELT pipelines, and implementing Medallion Architecture with SQL, Python, and Azure technologies.
Lead AI Software Engineer at RBC's Global Functions Technology division in Vancouver, designing and implementing AI/LLM-powered solutions and big data processing pipelines for regulatory reporting workflows on cloud platforms.
Lead AI Software Engineer within RBC's Global Functions Technology, designing and building AI/ML-powered applications and big data solutions for US Regulatory Reporting. Core technologies include cloud platforms (Azure/AWS/OpenShift), AI/LLM frameworks (LangChain, MCP servers), and data engines (Snowflake, Databricks, Spark).
Designs, builds, and optimizes scalable data pipelines and infrastructure to integrate, process, and manage data for cloud connectivity solutions, ensuring reliability and performance in a global SaaS environment.
Senior/Lead Data Engineer at Exadel building and optimizing Spark/PySpark applications on Databricks for a Big Four accounting firm client, with a focus on data processing, performance tuning, and best practices.
Senior DevOps Engineer responsible for designing, automating, and maintaining AWS cloud infrastructure, CI/CD pipelines, and data processing environments. Works closely with developers and data engineers to ensure scalable, secure, and cost-efficient cloud platforms for IoT data systems.
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