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Build and migrate data pipelines to Microsoft Fabric and Azure, modernizing a legacy PostgreSQL data lake into a cloud analytics ecosystem for enterprise reporting and BI.
Senior Data Engineer builds and optimizes Azure-based data pipelines and warehouses for a bank using Microsoft Fabric, Databricks, and Azure Data Factory.
Build and maintain data pipelines, analytics, and AI solutions using SQL, Python, and visualization tools like Power BI for enterprise clients.
Lead the design and scaling of a modern data platform, building robust pipelines and mentoring engineers to ensure reliable, governed data foundations for analytics and reporting.
Build and optimize high-performance Spark data pipelines in Python, migrating legacy SQL ETL to Delta Lake and Airflow orchestration while ensuring privacy-preserving data collaboration.
Senior Data Engineer designs and governs enterprise-scale data platforms, virtualization layers, and real-time pipelines using Denodo, Qlik Talend/Replicate, and IBM WatsonX Orchestrate.
Design and build scalable data pipelines and analytics platforms using Microsoft Fabric, SQL, and Python to consolidate operational data into actionable insights for business reporting and decision-making.
Design and scale robust data pipelines and infrastructure for AI-driven infrastructure projects, using cloud-native tools like Spark, Kafka, and Airflow to process IoT and telemetry data.
Designs, builds, and optimizes Azure-based data pipelines and lakehouse architectures using ADF, Databricks, Synapse, and PySpark to deliver clean, reliable datasets for analytics and AI workloads.
Build and maintain batch and real-time data pipelines using SQL, Python, and tools like Spark and Airflow to feed analytics and operational systems.
Build and maintain scalable data pipelines and lakehouse infrastructure to power analytics and operations using Python, Spark, Airflow, and modern storage systems.
Senior Cloud Data Engineer designs and builds scalable, cloud-agnostic data pipelines using Azure, Databricks, Spark, and Delta Lake, optimizing for performance and cost while mentoring junior engineers.
Build and maintain scalable data pipelines and a global datalake using Databricks, Python, Scala, and SQL to power commercial data products and business insights.
Build and maintain GCP-based Lakehouse data pipelines using Medallion architecture, ETL/ELT with Python and Dataform, and collaborate with analytics teams on AI initiatives.
Builds and maintains a scalable AI data lakehouse backend in Golang, designing distributed systems and ETL pipelines for enterprise analytics.
Design and lead production ML and generative AI platforms on Microsoft Azure and Fabric, defining MLOps, LLMOps, and enterprise-scale AI architectures for client organizations.
Azure Data Architect Location: Minneapolis, MN OR Dallas, TX (Onsite) Role Summary Technical Lead - Data Engineering with 10 years of experience in designing, building, and leading enterprise-scale data platforms and…
Company: Qualcomm Incorporated Job Area: Information Technology Group, Information Technology Group > IT Data Engineer General Summary: We are seeking a Staff Data Engineer to design, build, and operate a modern,…
Key Responsibilities Architecture DesignMinimum 2+ years of experience in architecting enterprise-scale Data platforms for large organizations or business units.Expertise in Designing and defining enterprise data…
Lead a data platform team to build scalable, self-service data products using modern architectures like Lakehouse and Apache Iceberg, while enforcing governance and cost optimization for a proptech company.
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