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Designs and builds Azure-based data pipelines and analytics solutions using Python and SQL, mentors teammates, and collaborates on data-centric applications.
Develop AI solutions and predictive models to drive business impact, deploying ML systems with Python or R.
Design and maintain scalable ETL/ELT pipelines and data platforms to support BI and AI initiatives for a real-estate technology company.
Design and deploy AI-powered automation workflows using n8n and Claude Code to streamline executive operations like scheduling, inbox management, and coordination.
Submer - Datacenters That Make Sense is hiring a Senior Automation Engineer in the Philippines to lead automation design and implementation. This is a pivotal role that demands innovation and proactive thinking in…
Design and maintain data pipelines, lakes, and governance for a large bank’s mortgage servicing unit, ensuring accuracy and security while collaborating with engineers and analysts.
Designs and maintains ETL pipelines to move data from on-premise ERP and legacy systems into analytics environments, with a focus on Oracle ERP and SQL-based transformations.
Lead a team to build and scale data pipelines on Google Cloud and Databricks using Python, mentoring engineers and delivering robust data products.
Build and maintain speech-data pipelines that feed production ASR models, including audio processing, text normalization, and quality validation.
Build and maintain Snowflake data models to power AI-driven marketing systems, enabling agentic workflows and LLM tool-calling for predictive and generative use cases.
ML Engineer/Data Scientist maintains and evolves ML models in production for a banking project, using Python, PySpark, BigQuery, and GCP while monitoring model drift and performance.
Designs and executes SQL-driven campaign data pipelines using GrowthLoop CDP to allocate offers and launch marketing campaigns with CRM and Marketing Ops teams.
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.
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