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Builds and maintains scalable data pipelines on Google Cloud for a US healthcare provider, improving analytics and data quality across global hospitals.
Owns and operates an enterprise data platform on Microsoft Fabric, designing lakehouse architectures, building ingestion pipelines from ERP/CRM systems, and maintaining Power BI semantic models while working directly with business stakeholders.
The Microsoft Fabric Data Engineer will design, build, and optimize data platforms and Lakehouse solutions to support business analytics and reporting. The role involves leveraging Microsoft Fabric, SQL, and Power BI to automate data workflows and drive data-driven decision-making.
Develops and optimizes data intelligence solutions using Microsoft and IBM platforms to support strategic decision-making, focusing on Power BI, T-SQL, and data warehousing.
Design and implement scalable Databricks Lakehouse data platforms and lead ETL migration from Informatica to Databricks, working with Spark, PySpark, and Delta Lake on cloud infrastructure.
Build and deploy production-grade ML and GenAI systems for insurance, banking, and wealth management using Python, MLOps, and cloud-native tools.
Builds and maintains ETL/ELT pipelines in Azure using Databricks, PySpark, and Azure services like ADF, Synapse, and SQL, while ensuring data lakehouse architecture and governance.
Designs and maintains data pipelines to unify membership data across systems, ensuring a single source of truth for subscriber data, while collaborating with cross-functional teams to define requirements and improve data reliability. Core technologies include SQL, Python, dbt, Databricks, and AWS.
Senior Data Engineer owning product data pipelines and migrating the analytics stack (Amplitude, Segment, Snowflake, Athena, QuickSight) to a unified Databricks platform, using Python and SQL on AWS.
Design and implement enterprise data platforms spanning ingestion, storage, transformation, and serving, with hands-on data engineering, governance (PDPA), and pipeline development to support analytics and AI/ML workloads.
The Data Engineering Sr. Associate designs and maintains scalable data pipelines, ETL/ELT processes, and data warehouse solutions using cloud technologies like Azure, Spark, and Databricks. The role involves collaborating with cross-functional teams to ensure data quality, governance, and performance optimization.
Claims Data Manager Aspire General Insurance | Full-Time Department: IT Are you looking for more than just a job? Do you want a career with a growing, stable organization where your ideas are valued, your contributions…
Senior Claims Data Analyst using SQL (T-SQL) and Power BI to build dashboards and transform complex claims data into actionable insights for Claims Operations at an insurance company.
Senior Data Engineer building scalable data pipelines, ETL/ELT processes, and data products for Open Finance analytics and reporting, using SQL, Python, Spark, Kafka, Databricks, Snowflake, and dbt.
Senior engineer builds, operates, and evolves Databricks and Azure data platforms for a Swiss fintech, focusing on scalable lakehouse architectures, streaming pipelines, and IaC-driven automation.
Build, operate, and evolve cloud data platforms in a banking environment using Databricks and Azure, focusing on scalable Lakehouse architectures, IaC, CI/CD, and governance.
Designs scalable, secure cloud data architectures on AWS and Databricks, focusing on streaming, Lakehouse integration, and cost optimization for high-impact projects.
Build predictive models and BI dashboards using SQL, Python/R, and AWS Redshift to forecast trends and guide business decisions.
Designs and maintains PayJoy’s global data architecture for customer support analytics, focusing on Medallion Architecture, semantic layers, and scalable pipelines with Databricks/dbt.
At Livefront, we help companies design and build world-class digital products that command attention and inspire joy. We’ve helped household names like CVS, Samsung, General Mills, and Optum create experiences that…
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