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The Senior Data Engineering Architect will design scalable analytics platforms and lead migrations to Unity Catalog using Azure Databricks, Data Factory, and Fabric. The role requires extensive experience in data analytics and proficiency in Python and PySpark.
The Data Architect Engineer will design and manage data structures and ingestion pipelines for a graph-RAG platform, focusing on schema definition, taxonomy, and data quality. The role involves working with Python, SQL, and enterprise content systems to ensure accurate knowledge representation for LLM retrieval.
Senior Analytics Engineer building data pipelines, dashboards, and capacity models using SQL, Python, and APIs, working onsite in Quezon City on EST night-shift hours.
Design, build, and maintain the full analytics delivery stack—from data transformation and modeling to Power BI dashboards—using dbt, SQL, and Databricks for a Philippine universal bank.
As an Analytics Engineer at Maya Bank, you'll design, develop, and monitor data products (especially feature stores) and work with Data Scientists to create datasets for machine learning models. Core technologies include feature stores, ETL pipelines, and CI/CD pipelines.
Design and maintain Snowflake-based data pipelines and ETL/ELT processes supporting analytics, reporting, and AI initiatives for the organization.
The Senior Data Engineer will design, build, and optimize data pipelines and storage architectures on Google Cloud Platform. The role involves troubleshooting complex data issues, mentoring junior engineers, and ensuring high-performance data retrieval using Python, SQL, and BigQuery.
Senior Data Engineer designing and optimizing a GCP-based data platform, building batch and streaming pipelines with Dataflow, Cloud Composer, and BigQuery using SQL and Python/Java. Onsite in Manila.
The Data Engineer will build and maintain data pipelines and complex data structures to support predictive modeling and analytics. The role utilizes technologies including SQL, Python, Spark, Snowflake, and Azure Data Factory.
The Data Engineer/Analyst will design and deliver enterprise data solutions, including building data pipelines, creating visualizations, and managing migrations to cloud architectures. The role focuses on automation, data integrity, and supporting business intelligence needs using tools like Tableau, Alteryx, and SSIS.
The Data Engineer will develop complex data structures and pipelines using SQL, Python, and cloud-based tools like Databricks, Snowflake, and Azure Data Factory to support analytics projects.
The Data Engineer will design and implement data solution architectures, build DataMart solutions, and develop data pipelines using Azure services and Power BI. The role involves collaborating with IT teams and managing CI/CD processes in a hybrid work environment.
The Operational Excellence & AI Data Engineer will develop analytics, automation, and AI-driven solutions to improve operational efficiency across the Asia Pacific region. The role involves using SQL, Python, and visualization tools to solve complex business problems and support data-driven decision-making.
Senior Staff Data Engineer at Infineon designing and optimizing scalable ETL/ELT data pipelines for structured/unstructured data and implementing agentic AI orchestration systems, using Python, SQL, and frameworks like MCP and LangChain.
Senior Data Engineer designing and optimizing high-performance data pipelines for structured/unstructured data (sensor and image), implementing scalable ETL/ELT architectures using Python, SQL, and modern data platforms at Infineon Technologies.
Design, build, and maintain scalable data pipelines and warehouses using AWS, Snowflake, SQL databases, and Python or Java to support BI and advanced analytics in a hybrid setup.
Design and implement data warehousing solutions using Snowflake and DBT, developing ETL processes with Informatica and DataStage, and scheduling jobs via Control-M in a hybrid setup.
Lead analytics, automation, and AI-enabled solution development to improve operational efficiency across Asia Pacific for a reinsurance intermediary, using SQL, Python, Power BI/Tableau, and C#/.NET.
Operational Excellence & AI Data Engineer at Guy Carpenter who leads analytics, automation, and AI solutions to improve operational efficiency across Asia Pacific by designing scalable models, dashboards, and applications.
Data Engineer designing solution architecture, building DataMart solutions and data pipelines using the Azure Data Ecosystem (Data Factory, Data Lake, Databricks, Blob Storage, SQL Databases) and PowerBI.
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