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Data & AI Platform Engineer- #AIDA
Build and maintain data ingestion pipelines using PySpark, SQL, Databricks, and Kafka to feed analytics and GenAI systems, while assisting with RAG and data virtualization layers.
Databricks Data Engineer: PySpark & Delta Lake Expert
Senior data engineer builds and optimizes scalable data pipelines on Databricks using PySpark and Delta Lake, delivering reliable data products for analytics teams.
Senior Software Engineer (Data)
Build and optimize distributed data pipelines using Scala/Java/Python, Spark, Kafka, and Delta Lake/Iceberg, then deploy them on GKE with Helm for AI-driven networking analytics.
Data Engineer, Enterprise Data Hub | 2-Year Contract
Designs and builds secure, scalable data pipelines and Lakehouse systems for government agencies using Delta Lake, focusing on governance, security, and analytics.
First VP, Senior Data Engineer, Group Technology & Ops
Build and maintain enterprise-scale data platforms (Lakehouse, Kafka, Spark) and AI-ready data products for a major bank, focusing on ingestion, governance, and real-time analytics.
Data Engineer: Real-Time Lakehouse & ML Infra
Design real-time and offline data architectures for TikTok’s Lakehouse systems, optimizing data lakes and enabling scalable ML training/inference with Flink, Paimon, Iceberg, Delta Lake, and Hudi.
Senior Data Engineer – Databricks
Build and optimize large-scale data pipelines on Databricks using PySpark, Delta Lake, and cloud platforms, refactoring legacy systems into modern lakehouse architectures.
#EG Data Engineer (Databricks)
Build and maintain scalable data pipelines on Databricks and Azure, integrating diverse sources and ensuring clean, reliable data for analytics and ML workloads.
Sr Data Engineer
Design and maintain scalable data pipelines, ETL/ELT processes, and data models across cloud and on-premise systems using Python, Spark, SQL, and cloud services.
Senior Data Engineer
Design and build scalable data pipelines and Lakehouse solutions for a smart automotive factory, integrating IIoT sensor data, MES, and enterprise systems to support analytics, AI/ML, and Digital Twin use cases.
Azure Data Engineer
Build and maintain scalable Azure data pipelines using Databricks, PySpark, and Azure Data Factory to move and validate large datasets reliably.
Databricks Data Engineer
Build and optimize scalable data pipelines on Databricks using PySpark, Delta Lake, and cloud platforms, refactoring legacy systems to modern ELT patterns.
Data Engineer- Databricks
Build and optimize data pipelines using PySpark and Databricks, implementing lakehouse architectures and Delta Lake features for scalable, reliable data processing.
Data Engineer (Cloud)
Design and build cloud-based data pipelines and warehouses using AWS, Databricks, and Informatica to support healthcare analytics and reporting.
Data Engineer (ACRA)
Design and build Singapore’s government-wide data infrastructure, including Databricks-based Lakehouse pipelines and governance tooling, to securely share and derive value from public-sector data.
Senior Data Engineer
Designs and builds scalable data pipelines, warehouses, and Lakehouse solutions for smart-factory analytics, integrating IIoT sensor data and enterprise systems using Python, Spark, and cloud platforms.
Cloud Data Engineer
Designs and maintains cloud data infrastructure on AWS and Databricks, building ETL pipelines and optimizing storage/processing for analytics using Python/Java/Scala.
Data Engineer
Design and maintain scalable data pipelines, ETL/ELT processes, and cloud-based data warehouses using Spark, SQL, and cloud platforms like AWS/Azure/GCP.
Databricks Data Engineer
Build and optimize scalable data pipelines on Databricks using Spark and Delta Lake, implementing ETL/ELT processes and ensuring data quality for analytics and compliance.
Data Engineer
Designs and maintains scalable data pipelines and warehouses for a global game publisher, ensuring clean, reliable datasets for analytics and product decisions.