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Designs secure, scalable AWS-based data platforms and AI solutions for APAC clients, ensuring compliance and measurable business outcomes.
Job Expectations Position Type: Experienced – IC Employment Type: Full-Time; Permanent (Direct Hire) Work Setup & Location: WFH – Metro Manila Work Schedule: Mondays – Fridays; Night Shift (Can be mid shift after 3…
Designs and maintains data pipelines, warehouses, and analytics infrastructure using SQL, Python, and AWS services to support reporting and modeling for clients.
Build and maintain data pipelines and lakes to support analytics for Nexperia’s global semiconductor manufacturing operations, using Spark, Kafka, SQL, and Python.
Build and maintain cloud microservices and web apps that process Wi‑Fi network data from proprietary devices, using Java/Spring Boot, Node.js, TypeScript, and AWS.
Build and optimize logistics systems for parcel and food delivery in South Africa using Scala, AWS, and event-driven microservices.
Own and improve Zendesk and Survey Monkey platforms for Takealot’s CX stack, integrating systems via APIs and building analytics with BigQuery and Looker.
Build and maintain microservices in Go/Scala on Kubernetes, designing RESTful APIs and optimizing enterprise-grade backend systems for a financial services firm.
Lead the design and deployment of enterprise-scale data pipelines and AI solutions on Databricks, building Lakehouse architectures and automating agentic AI workflows for clients.
Build and maintain scalable data pipelines using Spark, Hadoop, Scala, and Elasticsearch to contextualize and cleanse high-volume data for banking, insurance, government, and healthcare clients.
Build and maintain scalable data pipelines using Spark, Hadoop, and Scala to process raw data into insights for banking, insurance, and government clients.
Builds and optimizes ETL pipelines and scoring models using Quantexa, Scala, and Spark on Azure for client projects in Australia.
Lead a team to design and deploy Databricks-based data pipelines and Lakehouse architectures, using PySpark/SQL and cloud platforms to build AI-ready data platforms for enterprise clients.
Build and optimize AWS-based data pipelines and ML workflows using SageMaker, Kinesis, Glue, and Redshift, ensuring low-latency real-time and batch processing with Python and AWS services.
At NCS Australia, we believe in doing technology services better. Our commitment to quality, focus on people, and willingness to challenge traditional thinking set us apart. Our team brings this belief to life by…
Build and deploy scalable data pipelines using Scala, Spark, and cloud platforms to process high-volume datasets for clients in banking, government, and healthcare.
Build and maintain Spark pipelines and Kafka ingestion for large-scale government data lakes, ensuring data quality and real-time processing.
Backend developer building Java/Scala services for blockchain and banking integrations, owning features end-to-end and improving system architecture.
Design and build scalable data pipelines and platforms using Python, Java, Scala, Spark, and cloud tools (GCP, AWS, Azure) to enable real-time analytics for enterprise clients.
Build and maintain DigiBoox’s cloud-native stack on GCP, Kubernetes, and Terraform, integrating Java apps and fintech APIs while setting up observability with OpenTelemetry and Grafana.
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