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Position Overview We are seeking an experienced Data Engineer to design, build, and maintain scalable data platforms and processing solutions within a Google Cloud environment. The role involves translating business…
PRINCIPAL DATA ENGINEER Experiance : 15-20 years, Required Skills:Cloud Data Engineering, GCP, Big Query, CloudRun, Dataform, SQL,Python, Airflow, Pubsub, Kubernetes, Docker, DATAOPS, Grafana, Datadog. Role Overview We…
Role Overview Data Edge is looking for an experienced Data Architect to support the modernisation of a legacy application and its migration from Oracle to AWS-native data platforms. The role will be responsible for…
Job ref: QV75Y6YR People Profilers is hiring for a Senior Cloud Data Engineer (GCP/AWS/AZURE) to be a part of creating the ultimate data ecosystem from scratch. Allowing that the correct data is created from all…
A Senior Data Engineer migrating SQL Server to Snowflake using Fivetran and dbt, responsible for analyzing stored procedures, translating logic to dbt models, designing Snowflake schemas, configuring Fivetran connectors, and implementing data quality and governance.
Senior Solutions Architect designs and oversees a Databricks-based data modernization program for a financial-services client, migrating from SQL Server to a scalable lakehouse platform while aligning architecture with AI and analytics goals.
Senior architect leading AI-first enterprise data projects, designing scalable data platforms and integrating agentic AI workflows using Azure Synapse, Databricks, and Azure AI Services.
Join the Team Modernizing Medicine At ModMed , we’re not just building software—we’re reimagining the healthcare experience. Founded in 2010 by a practicing physician and a successful tech entrepreneur, we took a…
Company: Qualcomm Semiconductor Limited Job Area: Engineering Group, Engineering Group > Hardware Engineering General Summary: Drives the vision, strategy, architecture, and execution of enterprise-scale Machine…
Build and maintain scalable data pipelines and cloud-based warehouses using Spark, Python, and AWS services like Glue, S3, and Athena to enable analytics and reporting.
Client Overview: Our client is collaborating with a leading digital bank that is transforming the financial industry through innovative and secure tech-driven banking solutions. This forward-thinking institution…
Designs Azure/Databricks-based data pipelines and analytics solutions for clients, focusing on data ingestion, processing, and migration from on-prem warehouses.
Build and maintain big-data pipelines and DevOps tooling for clients using Cloudera and Azure, troubleshooting issues and coaching junior engineers.
Must have skills: In-depth knowledge and hands-on experience in designing solutions in Azure./Databricks services. Knowledge and experience in Databricks with Pyspark. Experience in designing data ingestion, data…
Design and build scalable data pipelines and architectures using Azure, Microsoft Fabric, and Python to enable analytics and reporting for enterprise clients.
Designs and optimizes large language models and reasoning pipelines for formal code verification, using Python/C++ and PyTorch/JAX in a San Francisco office.
Designs and refines ML data pipelines for distributed training and validation of AI models that enable formally verifiable software, using Python/C++ and frameworks like PyTorch/TensorFlow.
Design end-to-end big-data architectures (Data Lakehouse, Data Mesh) and scalable ETL/ELT pipelines using Spark, Delta Lake, Iceberg, and cloud platforms (AWS/Azure/GCP).
Designs and builds cloud data platforms on AWS, Azure, and GCP using SQL, Python, and ETL best practices for enterprise clients.
Build and optimize AI/ML and data pipelines for a sensor-fusion system, focusing on real-time processing, CI/CD, and MLOps to support an autonomous team in Sydney.
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