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Data Engineer at a consulting firm designing and building scalable, cloud-native Big Data and analytics platforms using Azure, Databricks, Spark, and Python for enterprise clients.
Data Engineer at HOS Global Foods designing, building, maintaining, and optimizing data solutions using T-SQL, Azure Data Services, data warehousing, and ETL/ELT development to support reporting and analytics across the organization.
Designs, develops, and manages cloud-based data integration pipelines using Fivetran. Works with SQL, cloud data warehouses (Snowflake, Databricks, BigQuery, Redshift, Azure Synapse), and dbt to deliver reliable data for reporting and analytics.
Azure Data Engineer assessing SAP and non-SAP data sources to build business-ready datasets and scalable data pipelines on an Azure Data platform using Databricks, Azure Data Factory, Synapse, Python/PySpark, and Azure DevOps.
Data Engineer designing and building data pipelines, ETL/ELT processes, and data models using Azure Data Factory, SQL, and big data technologies to support analytics and business insights.
Data Engineer building high-performance Spark-based ETL/ELT pipelines and multi-layer data lake/warehouse solutions on Azure for a heavy analytics project.
Core Responsibilities Provides advanced data solutions by using software to process, store, and serve data to others. Tests data quality and optimizes data availability. Ensures that data pipelines are scalable,…
Senior Data Governance Consultant – Azure Location: Lahore / Karachi / Islamabad, Pakistan Work Model: Hybrid Experience: 7–9 Years Employment Type: Full-Time Role Overview We are looking for a Senior Data Governance…
Work Location: Toronto, Ontario, Canada Hours: 37.5 Line of Business: Technology Solutions Pay Details: $81,600 - $115,200 CAD This role is eligible for a discretionary variable compensation award that considers…
The Data Engineering Lead will design and govern the data architecture for AI and machine learning initiatives, focusing on building production-ready pipelines between AWS and Azure. This hands-on leadership role involves managing engineering resources to support data science teams while ensuring compliance with security and governance standards.
Data Engineer designs, builds, and operates data pipelines on Microsoft Azure using Azure Data Factory, Azure Databricks, and Azure Synapse Analytics to support regulatory oversight and compliance functions.
Design, build, and maintain the full analytics delivery stack—from data transformation and modeling to Power BI dashboards—using dbt, SQL, and Databricks for a Philippine universal bank.
The Data Engineer designs and maintains data pipelines and integrations to support GEI's AI solutions and digital initiatives. The role involves building ingestion pipelines, managing data stores for RAG, and ensuring data quality and governance using Azure technologies.
Lead the design and delivery of end-to-end Microsoft Fabric data solutions (Lakehouse, Warehouse, Pipelines, semantic models) for multiple consulting clients, combining hands-on T-SQL/PySpark/Python engineering with architecture, CI/CD via Azure DevOps/GitHub Actions, and mentoring.
The Azure Data Engineer will support Big Data projects by designing data pipelines, performing ETL/ELT processes, and migrating workloads to the cloud. The role requires expertise in Azure services, Spark, and programming languages like Python and Java to prepare data for analytics and machine learning.
The Azure Data Engineer will design and manage ETL workflows in Azure, focusing on data migration and quality. The role requires expertise in Azure Data Factory, Synapse Analytics, and Python/PySpark to support business requirements.
The Senior Data Engineer will design and maintain data pipelines and analytical models within the Microsoft Azure ecosystem. The role focuses on building scalable data solutions using Azure Databricks, Data Factory, and advanced SQL and Python programming.
The Data Engineer will design, develop, and maintain data solutions within the Microsoft Azure ecosystem, focusing on ETL/ELT pipelines and scalable data architectures using tools like Databricks and Synapse.
The Senior Data Engineer will design, build, and maintain scalable ETL pipelines to integrate data across enterprise systems using Python, Snowflake, and Azure Synapse Analytics.
The Senior Data Engineer will design, build, and maintain robust data pipelines using Python, Snowflake, and Azure Synapse Analytics. The role involves collaborating with cross-functional teams to ensure scalable, secure, and high-quality data integration and transformation across enterprise platforms.
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