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Designs and modernizes enterprise data warehouses, builds scalable data models, and sets up cloud-based ETL/ELT pipelines for analytics and AI-ready data foundations.
Designs and optimizes AWS-based data pipelines and models for large-scale cloud platforms, bridging data engineering and science using services like Redshift, DynamoDB, and Lambda.
Design and implement cloud-native data pipelines on Databricks and Azure, integrating big-data tools to feed analytics and ML models for enterprise clients.
Designs and builds cloud-native data pipelines on Azure, integrating Big Data tools like Spark and Databricks to feed analytics and ML models for enterprise clients.
Designs and builds cloud-native data pipelines on Azure, integrating big data tools like Spark and Databricks to feed analytics and ML models for enterprise clients.
Design and optimize cloud data pipelines and lake-house architectures for a global iGaming provider, migrating from on-prem to scalable cloud solutions while mentoring junior engineers.
Designs and builds cloud-based ELT/ETL pipelines on AWS/Azure and Databricks to integrate financial, ERP, and operational data for a renewable-energy IPP, then delivers Power BI reports for executives and investors.
Designs and maintains ETL pipelines with PySpark and Azure Synapse Analytics to deliver reliable datasets for analytics and decision-making.
Builds ETL pipelines in Azure Synapse using PySpark to transform and warehouse data for clients.
Builds and optimizes ETL pipelines in Azure Synapse using PySpark to move and transform data for warehousing solutions.
Designs and builds end-to-end data pipelines on Azure Synapse and Data Factory, modeling relational/ dimensional data and ensuring quality, governance, and CI/CD for enterprise clients.
Transform data architecture as a Data Engineer with a focus on Azure and Databricks. Collaborate in a hybrid environment to support robust data-driven applications. In this dynamic role, you will partake in crafting…
Build and maintain scalable data warehouses and pipelines to power AI-driven customer-insight dashboards using Snowflake, Airflow, Kafka and Python.
Design and maintain CarePartners’ enterprise data platform, ensuring secure, compliant data pipelines and governance for analytics and AI readiness across clinical, financial, and HR systems.
Build and maintain scalable Azure data pipelines using Data Factory, Databricks, PySpark, and ADLS Gen2 to process and transform large datasets for analytics and reporting.
Designs and builds D365FO-based dimensional models and SQL queries for financial and manufacturing BI reporting, then delivers Power BI dashboards to business users.
Senior Data Engineer builds and maintains secure Azure pipelines and data products for Alberta’s environmental regulatory platform, ensuring reliable, analytics-ready datasets for compliance and decision-making.
It's fun to work in a company where people truly BELIEVE in what they're doing! Job Description: Ingram Micro is a leading technology company for the global information technology ecosystem. With the ability to…
Design and build Azure Lakehouse architectures with Databricks, ADLS Gen2, Synapse, and Data Factory, and implement scalable ETL/ELT pipelines using Spark, Delta Lake, Python, SQL, and Scala.
Leads a team managing enterprise database and cloud data platforms, ensuring reliability, security, and performance across SQL Server, Oracle, Snowflake, and Azure services.
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