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Designs and maintains scalable AWS cloud data pipelines, ETL/ELT workflows, and ML integrations using PySpark, AWS Glue, and SageMaker while automating infrastructure with Terraform/Opentofu.
Data Engineer building AWS Glue-based ETL pipelines to ingest data from heterogeneous sources into Amazon S3 and process it across a medallion lakehouse architecture, using PySpark, Python, and SQL.
Senior Data Engineer designing and building scalable end-to-end data pipelines on AWS using Glue, PySpark, Python, S3, Athena, Redshift, and Airflow.
The Lead ML/AI Platform Engineer will own the end-to-end machine learning infrastructure, including training, model serving, and integration with Java microservices. The role focuses on driving the company's GenAI and agentic workflow strategy using AWS-based tools and open-source ML frameworks.
Senior Data Engineer This is a great time to join our Data & Digital team as we continue to grow our data engineering capability across complex and impactful client environments. You'll have the opportunity to…
Construção e manutenção de pipelines de dados escaláveis e confiáveis, utilizando tecnologias modernas de processamento distribuído para garantir a ingestão, transformação e disponibilização de dados com qualidade e…
Director of DevOps & Platform Engineering leading teams that manage Gracenote's AWS infrastructure (EKS, Glue, MSK, EMR, S3, RDS), Kubernetes operations, observability stacks (Grafana, Loki, Prometheus), CI/CD pipelines, and FinOps initiatives.
Builds and optimizes a high-performance, scalable data lakehouse architecture with sub-minute latency, managing CDC pipelines, distributed query engines, and AI-driven workflows to support fintech payments and user analytics.
Senior Data Architect designing enterprise data models, standards, and pipelines across on-prem and cloud environments (Azure, AWS, Microsoft SQL Server/BI stack) for a DoD mission partner.
Position Summary Scicom Infrastructure Services is seeking an experienced Databricks Practice Lead / Engineering Manager to provide hands-on technical leadership while managing a team of data engineers, architects, and…
Senior DevOps Engineer responsible for designing and maintaining cloud infrastructure (AWS/Azure), CI/CD pipelines, and data platforms (Databricks/Snowflake) to ensure reliability, security, and observability for Edwards Lifesciences' global data operations.
Leads the design and maintenance of data pipelines, warehouses, and lakes for a large bank, ensuring accurate, secure, and accessible data while collaborating with data scientists on ML models.
As an Analytics sales specialist in this rapidly expanding field, you'll drive growth by helping customers leverage emerging technologies that directly impact their AI and technical capabilities to create business…
.Experience implementing container orchestration using Kubernetes / EKS. · Knowledge of cost optimization, FinOps practices, and cloud governance. · Exposure to multi-account AWS setups using Control Tower,…
Hands-on Staff Data Engineer (50%+ coding) at Early Warning (Zelle), architecting and building scalable data platforms, lakehouses, and ML pipelines using Snowflake, Databricks, Python/PySpark on AWS.
Job Description Global Functions Technology (GFT) is part of RBC's Technology and Operations division. GFT's impact is far-reaching as we collaborate with partners from across the company to deliver innovative…
Consultant Data Engineer specializing in Databricks to lead client migration projects, designing scalable data pipelines, and ensuring data quality/performance. Core tech: Databricks, Spark, cloud platforms, Python, SQL, and Agile methodologies.
Migrate a SQL Server enterprise data warehouse and SSIS integration layer from Azure to AWS, preserving 600+ stored procedures and 1,060 pipeline dependencies while maintaining ODS→EDW→BI workflows.
Technical project manager leads hospital pharmacy data integrations, validating and loading EMR/ADC data into the Bluesight platform while coordinating internal teams and customer stakeholders.
Design and build secure, governed AWS data lakes and pipelines for a global investment firm, using Python, PySpark, Athena, Iceberg, and Terraform.
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