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Build and deploy ML models and real-time AI services in cloud environments for Corpay’s payment solutions, collaborating with cross-functional teams using Python, PyTorch, and AWS/Azure.
Working with Us Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens…
Make Your Mark: As the founding Staff Data Engineer for our new Engineering Hub in Krakow, you are stepping into a role with rare scope and influence. You will be the data backbone of a mission-critical, AI-powered…
Design and optimize data pipelines and databases using AWS Redshift, PySpark, and SQL Server, ensuring reliable, high-performance data delivery for analytics and reporting.
Designs and maintains data pipelines and cloud-based infrastructure to support enterprise analytics and reporting for a financial services organization.
Senior data engineer designs and maintains cloud-based data pipelines and analytics infrastructure for a global financial services enterprise, using big data tools and cloud platforms.
Designs and governs Salesforce Data Cloud architectures to unify customer data across legacy systems, enabling AI-ready profiles for Agentforce and supporting enterprise migrations for Marketing Cloud, Revenue Cloud, and ITSM.
Designs and maintains AWS-based data pipelines and storage for a casino analytics platform, using services like Glue, Redshift, and DynamoDB to support automated reporting and operational workflows.
Maintains uptime and performance of AWS-hosted healthcare systems, troubleshooting live incidents and optimizing serverless/data pipelines while ensuring HIPAA compliance.
Designs and builds cloud-native data lakehouse solutions for supply chain analytics using AWS services, Apache Iceberg, and Medallion Architecture, while leading a team of data engineers.
Senior Software Engineer builds and maintains scalable data platforms on AWS using Kafka, Spark, Airflow, and Terraform to power analytics and AI products.
Builds and maintains data pipelines and analytics infrastructure using AWS services like Redshift, Glue, and Airflow, with dbt and Python to deliver clean, reliable data for business reporting.
Job Description: DXC Technology is looking for a Databricks Expert to autonomously manage the design, implementation and maintenance of data pipelines, acting as a direct point of reference for internal stakeholders on…
Senior Data Engineer builds and optimizes scalable data pipelines on AWS (Redshift, Glue, Airflow) using Python and SQL to support analytics and real-time processing for a lottery operator.
About the Role: Grade Level (for internal use): 12 We are seeking a hands-on Senior Lead Data Engineer / Data Platform Lead to support our offshore team in India. This role focuses on executing data pipeline…
Lead a team of data engineers to build and maintain modern data platforms for financial crime reporting and insights at a major bank, using AWS, Snowflake, and AI practices.
Department: AI Data Engineering Reports To: Data Engineering Team Lead / Engineering Manager Position Overview: Mid‑level engineer who designs and maintains scalable data pipelines, ETL processes and data platforms to…
Design, build, and maintain scalable ETL and ELT pipelines using Spark and Python. Build real-time data ingestion streams to capture continuous sensor and time-series data. Implement and optimize lakehouse table…
We are looking for a Senior Data Engineer: Language Proficiency: Upper-Intermediate Employment type: Full time Candidate Location: Poland Working Time Zone: CET Start: ASAP Planned Work Duration: 12+ months 👥 Customer…
Design and build scalable AWS data pipelines ingesting from DynamoDB, Aurora, and Neptune into S3-based Iceberg data lake layers (Raw/Canonical/Curated), while maintaining Airflow orchestration and CI/CD for data platform deployment. Core technologies include Python, AWS Glue/Athena/Lake Formation, dbt, Apache Iceberg, and Terraform.
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