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Build AI-driven internal tools (LLMs, RAG, Python/React) to automate sales research, risk assessment, and meeting summaries for a fintech company.
Build and maintain scalable data pipelines and cloud infrastructure on AWS to support real-time and batch processing for a sports-betting business.
Build and scale data pipelines and models in AWS/Azure using SQL, Python, dbt, and Airflow to power healthcare analytics and reporting.
Design and build a scalable data platform and analytics suite using Python/Scala, Spark, Hadoop, and cloud tools to power APIs and insights for customers.
Designs and maintains scalable data pipelines and warehouses using SQL, Python, and cloud platforms (AWS/Azure/GCP) to support business analytics and data-driven decisions.
Builds and maintains robust data pipelines using Python/Scala, Spark, Hadoop, and SQL to enable reliable data products and analytics workflows.
Lead a team building and optimizing data pipelines in Teradata for a major bank, ensuring reliability and performance while mentoring engineers and collaborating with stakeholders.
Build automation, data pipelines, and monitoring for a centralized platform managing global network partner relationships and service data.
Designs and scales Snowflake-based cloud data platforms, builds data pipelines, and enables self-serve analytics with dbt, Airflow, and BI tools.
Design and build an end-to-end data platform that ingests, processes, and serves data for reporting and analytics using Python, PySpark, Airflow, and AWS, with exposure to LLMs.
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 builds data pipelines, warehouses, and analytics systems using Python, Spark, and cloud platforms like Databricks or Snowflake.
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 cloud data pipelines in Python, using AWS services and IaC to ingest, process, and model data for analytics and operations.
Lead the design and implementation of scalable GenAI, LLM, and AI-agent architectures, including RAG and MLOps/LLMOps pipelines, to deliver enterprise solutions and accelerate client adoption.
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.
Builds and maintains scalable AWS data pipelines with Python, PySpark, Glue, and Airflow for a major bank in Sydney.
Builds self-service financial dashboards and data pipelines in Python/SQL Server with Databricks, integrating AI processes for internal stakeholders.
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…
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