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Build and maintain ETL pipelines using Python (PySpark) and Azure Synapse Analytics for data engineering projects in a fast-paced consultancy.
Build and maintain ETL pipelines using Python (PySpark) and Azure Synapse Analytics to deliver clean, analytics-ready data for insights.
Builds and maintains ETL pipelines in Azure Synapse using Python (PySpark) to design data storage and ensure quality for cross-functional teams.
At PwC, our people in Cloud, Data and AI focus on leveraging data to drive insights and make informed business decisions. They utilize advanced analytics techniques to help clients optimize their operations and achieve…
Build and automate Power BI dashboards, SQL queries, and Azure workflows to analyze energy/water utility data and drive operational decisions.
Designs and implements modern data analytics solutions for clients, including ETL/ELT pipelines, cloud data warehouses, and BI dashboards using tools like Snowflake, Azure Data Factory, and Power BI.
Lead pre-sales engagements for data lakehouse and analytics platforms, designing architectures that align with customer needs and drive revenue growth.
Designs and runs automated tests for Azure-based ETL pipelines, data migrations, and cloud data platforms, ensuring data quality and integrity across enterprise systems.
Builds and optimizes ETL pipelines using Python (PySpark) and Azure Synapse to transform/load data, designs scalable data storage, and partners with teams to meet analytics needs.
Build and maintain automated MLOps pipelines on Azure for ML model lifecycle management, data pipelines, and CI/CD, ensuring reliability and scalability.
102746 - Sr. Dynamics 365 Engineer Location: Multiple Countries 102746 - Sr. Dynamics 365 Engineer Summary We are seeking a senior Sr. Dynamics 365 Engineer to design and deliver full‑stack solutions that extend and…
Build and maintain cloud-based ETL/ELT pipelines in Snowflake and Azure, migrating on-prem SQL Server workloads to modern data platforms to support analytics and reporting.
Company: CGIC Department: Information Technology Employment Type: Regular Full-Time Work Model: Hybrid (2 days in office) Language: This role operates in English. Additional Information: This/these role(s) is/are…
Roles & Responsibilities Business Understanding At least (3) years of relevant experience in: - Business Requirement Analysis - Business Process and System Understanding - Effective Communication with both business…
Designs and implements cloud-native big-data pipelines on Databricks and Azure, bridging data engineering and science to build scalable data lakes and ML-ready datasets.
Senior Data Solutions Engineer designs and leads cloud data platforms (Azure/AWS) and data pipelines, mentors teams, and translates business needs into scalable, secure architectures to deliver client value.
Designs and builds scalable data pipelines using PySpark and SQL on Microsoft Azure Fabric, Databricks, and Synapse to enable data-driven insights.
Design and build scalable data pipelines using Microsoft Fabric, Azure Databricks, and PySpark to transform and integrate enterprise datasets for analytics and insights.
Build and optimize cloud-native data pipelines using Microsoft Fabric, Azure Databricks, and PySpark to deliver scalable data solutions for enterprise clients.
Designs and builds scalable data pipelines on Azure and Databricks, using the Microsoft stack to deliver analytics solutions for clients.
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