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Lead data engineering teams to build and migrate data lakes, warehouses, and lakehouses using PySpark, Python, and cloud platforms like AWS/Azure/GCP.
Build and maintain scalable data pipelines on Databricks and AWS to power analytics and reporting for Singapore’s global network initiatives.
Designs and implements enterprise data integrations and prepares data pipelines for GenAI initiatives, ensuring reliable data flow and quality across systems.
Build and maintain ETL pipelines to move and transform enterprise data into analytics-ready datasets, then support Spotfire dashboards for business users.
Build and maintain scalable data pipelines and infrastructure using Databricks and AWS to power analytics and reporting for Singapore’s global network ecosystem.
Designs and maintains scalable cloud data pipelines and warehouses using SQL, Python, and cloud platforms to enable reliable analytics and business insights.
Lead a team to design and build enterprise-scale data warehouses, lakes, and analytics pipelines using SQL, Python, and cloud platforms like Snowflake/AWS.
Build and maintain scalable data pipelines and QA processes using Python, cloud tools, and big data tech to deliver analytics solutions for clients.
Design and maintain scalable data pipelines and enterprise data warehouses using AWS Glue, PySpark, and Informatica to ingest, transform, and deliver clean data for analytics across Schneider Electric’s global operations.
Senior data engineer designs and implements SAP and cloud-based analytics solutions for clients, focusing on BI, data warehousing, and advanced analytics using tools like SAP Analytics Cloud, Power BI, HANA, Snowflake, and Databricks.
Senior consultant designs and implements cloud-based data architectures (SAP, Azure, Snowflake, Databricks) and analytics solutions (SAP Analytics Cloud, Power BI) for enterprise clients.
Senior engineer building scalable data infrastructure for real-time network security analytics using Python, Kafka, and Kubernetes in a cloud-native environment.
Senior Data Engineer builds and optimizes cloud data pipelines for financial services clients using Azure, Snowflake, and Databricks to support analytics and regulatory reporting.
Principal Data Engineer designs and optimizes secure data pipelines, warehouses, and real-time systems for a biotech company, using Python, Spark, Kafka, and cloud platforms.
Principal Data Engineer designs and optimizes secure, scalable data pipelines (ETL/ELT) and warehouses for real-time/batch processing, ensuring data quality and compliance in a biotech environment.
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.
NTU International A/S is leading a consortium for the implementation of the EIB funded project called: JETP South Africa Transnet Decarbonisation Framework Loan and is searching for experts to support the core team…
Designs, deploys, and supports enterprise Microsoft Azure and Microsoft 365 environments, including data lakes, Power BI, and automation workflows, while serving as the top-tier escalation point for complex cloud and data issues.
Designs and builds AWS-based data pipelines, warehouses, and lakes for analytics and AI use cases, working with SQL, NoSQL, ETL tools, and cloud services.
Design and build scalable data pipelines, ETL processes, and dashboards for a media company using Azure, Databricks, Spark, and Python.
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