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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.
Design and migrate data infrastructure to a cloud lake-house, build scalable pipelines, and mentor junior engineers for an online gaming company.
Design and build scalable Microsoft-based data pipelines and warehouses that power analytics, BI, and ML for enterprise clients.
Designs, builds, and optimizes Azure-based data pipelines and lakehouse architectures using ADF, Databricks, Synapse, and PySpark to deliver clean, reliable datasets for analytics and AI workloads.
Build and maintain batch and real-time data pipelines using SQL, Python, and tools like Spark and Airflow to feed analytics and operational systems.
Build and maintain scalable data pipelines and lakehouse infrastructure to power analytics and operations using Python, Spark, Airflow, and modern storage systems.
Senior Cloud Data Engineer designs and builds scalable, cloud-agnostic data pipelines using Azure, Databricks, Spark, and Delta Lake, optimizing for performance and cost while mentoring junior engineers.
Designs and builds scalable data pipelines, ETL/ELT processes, and cloud-native data warehouses to support enterprise analytics and reporting using Azure, AWS, or GCP.
Build and maintain scalable data pipelines and architectures to support AI/ML model training and inference, using Python, Spark, Kafka, and cloud platforms.
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