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Lead a software engineering team in Taguig, guiding developers, defining requirements, and mentoring engineers with at least 6 years of experience.
Designs and maintains scalable data pipelines in AWS and Databricks using Python, SQL, and ETL processes while ensuring data quality and collaborating with stakeholders.
Lead a team to design and build ETL pipelines and AWS data lakes using PySpark and Python, integrating data from SAP and SQL sources.
Designs and maintains scalable data pipelines and ETL/ELT processes, integrating multi-source data into centralized platforms and ensuring high data quality for analytics.
Designs and builds cloud-based data pipelines to turn raw data into insights, mentors junior engineers, and collaborates with stakeholders to deliver analytics solutions.
Builds and maintains data pipelines using Azure Synapse, SQL, ETL/ELT, and PySpark to ingest and process data for impactful projects in a global team.
Builds and maintains Azure-based ETL pipelines to move and transform financial data, ensuring reliability and quality for downstream analytics.
Designs and maintains Azure cloud infrastructure and scalable data pipelines using Databricks, Delta Lake, and Power BI for analytics and reporting.
Own and improve data pipelines for JPMorgan’s Home Lending Servicing, ensuring accurate, secure, and accessible data for analytics and operations using SQL, Python, and AWS.
Builds and migrates financial data systems using SQL and PL/SQL; consults with clients to tailor solutions in a hybrid work setup.
SUMMARY OF THE JOB As Holcim scales AI across its global footprint—from predictive industrial maintenance to GenAI-powered corporate functions—we require a unified approach to risk and ethics. You will be the…
Designs and maintains scalable Google Cloud data pipelines for analytics and reporting, ensuring secure, reliable data solutions for enterprise use.
Design and build scalable data pipelines and analytics solutions using C#, SQL, and cloud technologies to support business intelligence and reporting needs.
Builds and maintains cloud-based ETL pipelines and data models for enterprise clients, transforming raw data into analytics-ready datasets using Bronze-Silver-Gold architecture.
Builds and maintains data pipelines using PySpark, Kafka, and GCP services like BigQuery and Dataproc.
Builds AI models for spatial navigation by annotating 3D LiDAR data and synthetic environments to create digital twins of hospitals, cities, and industrial sites.
Builds and maintains automated testing frameworks for AI agents and LLM-based systems using Playwright and CI/CD, validating workflows on AWS Bedrock and vector databases.
Build production-ready enterprise AI apps using LLMs, RAG, and AI agents with Python, FastAPI, and cloud platforms to automate workflows and unlock business knowledge.
Builds and analyzes marketing data pipelines to support e-commerce and product launches, focusing on growth analytics and market research.
Lead the design and implementation of a scalable cloud data platform on Azure, building data lakehouse/warehouse solutions and ETL/ELT pipelines to support analytics and AI initiatives.
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