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Senior Data Engineer builds and maintains HIPAA-compliant data pipelines and models for a healthcare AI product using Python, Dagster, DBT, PostgreSQL, and AWS services.
Designs and optimizes cloud data pipelines on AWS using Python to support scalable data infrastructure for a tech company in Metro Manila.
Lead a team to build and optimize scalable data pipelines using Snowflake, Databricks, and Kafka, ensuring security, governance, and performance for a global fast-food company.
Builds large-scale web data pipelines to clean and curate high-quality training data for AI language models, improving model understanding and generation.
Designs and maintains scalable data pipelines and analytics systems using Python, SQL, Azure, and Power BI for a tech firm in Quezon City.
Designs and maintains data pipelines and warehouses to ensure efficient data management and support analytics and reporting.
Designs and optimizes Azure Synapse data pipelines, builds star schemas, and monitors performance using Dynamic Management Views for analytics workloads.
Build and maintain data solutions for airline and rail customers using C#/.NET, SQL, APIs, and cloud platforms like Azure.
Designs and builds data pipelines to ingest, process, and store structured and unstructured data using cloud and on-prem tools like Spark, Kafka, and HDFS.
Designs and enforces data governance policies, manages master data, and ensures compliance with standards for secure, high-quality data across teams.
Senior AI Engineer builds a unified customer dataset and prepares it for AI-driven workflows to enhance sales operations.
Designs and builds scalable data pipelines in Python and SQL to transform raw data into insights for analytics and operations.
Designs and builds scalable data pipelines in Java, Python, and SQL to move and transform raw data into insights for analytics and ML in a cloud environment.
Lead a team of data engineers to design, build, and optimize cloud-based data pipelines and warehouses using Python, SQL, Spark, and cloud platforms like Azure or AWS.
Build and optimize Snowflake-based ETL/ELT pipelines, tune queries, and maintain cloud data platforms for enterprise clients in a managed-services setting.
Lead a team building and maintaining scalable data pipelines for analytics using ETL/ELT tools, Airflow, DBT, and Snowflake/Redshift.
Oversee data engineering and BI teams, build data warehouses, and create Power BI/OBIEE dashboards to deliver actionable healthcare insights.
Designs and maintains data pipelines to support marketing analytics, segmentation, and e-commerce reporting for Xerox’s global product and service offerings.
Design and maintain scalable data pipelines and analytics services for an educational publisher, working hybrid hours overlapping with UK time.
Builds and scales AI-driven analytics and automation tools to improve operational efficiency and data-driven decision-making for reinsurance processes.
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