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Leads Azure data engineering and governance projects, designing scalable solutions with Azure Data Factory, Synapse, Databricks, and BI tools while overseeing delivery and architecture.
Build and optimize Denodo virtualized data models, integrating SAP ECC and enterprise systems to power finance and commercial reporting in a consultancy setting.
Build and optimize scalable data pipelines using Python, PySpark, and Databricks for batch and streaming workloads, managing Delta Lake layers and AWS S3 storage.
Design and build scalable data pipelines and analytics platforms using Azure and Microsoft Fabric for enterprise clients, focusing on data architecture, governance, and transformation.
Principal Data Engineer designs and builds scalable cloud data platforms for clients using Snowflake, AWS/Azure, and Databricks, leading teams and advising on data architecture and ETL pipelines.
Build and optimize GCP-based data pipelines for telecom analytics, focusing on BigQuery, Dataflow, and Dataform while enforcing PII governance and cost controls.
Principal Data Engineer designs and builds scalable cloud data platforms using Snowflake, AWS/Azure, and Airflow/dbt, advising clients on data strategy and architecture.
Senior Data Engineer designs, builds, and optimizes modern data platforms for enterprise clients, leading architecture and governance projects to improve data quality and delivery practices.
Build and maintain Azure-based data warehouses and ETL pipelines using Azure Data Factory, Synapse, and SQL, integrating cloud and on-prem systems.
Design and maintain Databricks-based data pipelines and APIs using Python, SQL, and Lakeflow to deliver scalable enterprise solutions.
Design and optimize scalable data pipelines using Databricks and cloud platforms, collaborating with teams to build analytics solutions.
Build and lead Snowflake-based data pipelines and analytics solutions for clients, mentoring teams and enabling AI-driven applications in a hybrid consultancy role.
Designs and builds end-to-end data pipelines and cloud data lakes for a Big 4 bank, using Python, Spark and Azure to create reusable data assets and support analytics.
Senior Analytics Engineer builds scalable data pipelines, models, and dashboards using SQL, Python, dbt, Snowflake, and BI tools to deliver client-facing analytics solutions in a consultancy setting.
Senior Data Analytics Engineer builds scalable data pipelines, models, and dashboards for clients while advising teams on data tooling in a consultancy setting.
Lead the design and build of Microsoft data pipelines and warehouse models, integrating ERP systems like SAP and JD Edwards to power analytics and Power BI reporting.
Lead a team building cloud-based data platforms using Snowflake and modern data engineering practices to deliver scalable solutions for clients.
Leads data-pipeline design and delivery on Microsoft Fabric and SQL Server, integrating ERP systems and building Power BI-ready datasets for client reporting.
Senior Data Engineer builds and optimizes Databricks/Azure pipelines for enterprise clients, focusing on Lakehouse architecture, Delta Lake, and Spark-based workflows.
Lead a team to design and build scalable data platforms and warehouses using Snowflake, AWS/Azure, and Databricks, guiding clients from discovery to delivery.
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