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Lead a team that builds and maintains scalable data pipelines and warehouses for a Philippine bank, using Python, SQL, Snowflake, DBT, and Airflow to ensure clean, reliable data for analytics and decision-making.
Lead the design and evolution of a robust Data Platform, building certified data products from sales, inventory, logistics and finance datasets to ensure reliable, traceable and actionable business decisions.
Designs and builds scalable cloud data pipelines, warehouses, and analytics platforms using Python, SQL, Spark, and cloud tools like BigQuery and Snowflake, with optional Gen AI integration.
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.
Lead a team building and maintaining scalable data pipelines for analytics using ETL/ELT tools, Airflow, DBT, and Snowflake/Redshift.
Designs and maintains scalable data pipelines and warehouses (e.g., Fabric, Databricks) to collect, store, and analyze data for analytics and ML, using SQL, Python, and cloud platforms.
Design and maintain scalable data pipelines and warehouses, ingesting data from multiple sources and ensuring quality for BI and analytics using Spark, Airflow, and dbt.
Lead the end-to-end data architecture—ingestion, processing, modeling, and consumption—using Python, PySpark, Airflow, and AWS services to enable reliable reporting and LLM-driven analytics at scale.
Build and maintain ETL pipelines, data models, and dashboards to turn raw business data into insights and reports using Python, SQL, and cloud platforms.
Build and maintain GCP-based data pipelines and warehouses using BigQuery, Composer, Python, and SQL to integrate and transform diverse data sources.
Senior Data Engineer builds and maintains GCP-based data pipelines, ETL workflows, and analytics models for MSP customers, using Python, SQL, and Airflow.
Build and maintain scalable data pipelines and cloud infrastructure (GCP/AWS/Azure) to process large datasets, using SQL and Python for ETL and data quality monitoring.
Design and build cloud-based data pipelines and AI analytics platforms for clients, using tools like Snowflake, AWS Redshift, and Apache Airflow to ingest, process, and transform data at scale.
Designs and builds scalable GCP-based data pipelines using Dataflow, Pub/Sub, and BigQuery to ingest, process, and store batch and streaming data reliably.
Senior Data Engineer builds and scales Snowflake-based cloud data platforms, designs ELT pipelines, and optimizes data models to power analytics and reporting across a fintech organization.
Design and build scalable, cloud-native data pipelines using Python, AWS (Glue, Lambda, DynamoDB), and SQL for global projects with a US client.
Designs and maintains scalable data pipelines and ETL processes using SQL, Python, and cloud tools to support analytics and decision-making.
Build and scale a cloud-native data platform in Snowflake, owning ELT pipelines, data models, and governance to deliver trusted analytics and self-service capabilities for a fintech client.
Senior Data Engineer builds and optimizes cloud data platforms using Snowflake and Redshift to power analytics and reporting across a fintech organization.
Build and maintain scalable data pipelines and cloud infrastructure using Python, SQL, Airflow, Snowflake, and BigQuery to power analytics and decision-making.
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