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Senior Data Engineer builds SQL-based data models and BI dashboards for marketing and e-commerce clients, using cloud warehouses (BigQuery, Snowflake) and tools like Looker Studio or Tableau.
Lead the design and reliability of Deriv’s data pipelines, ensuring accuracy, observability, and governance for trading, compliance, and AI systems at scale.
Build and maintain AI/ML pipelines and data infrastructure to support classification, detection, and predictive models using Python, Spark, and cloud data services.
Designs, builds, and integrates clinical software systems (LIS, EDIP, APIs) for a large Malaysian healthcare provider, focusing on HL7/FHIR interoperability, data pipelines, and API management to support digital transformation in hospitals.
Senior Data Engineer building and scaling Google Cloud data pipelines and platforms to power analytics and ML for a hospitality-tech company.
Designs and builds scalable data pipelines in Snowflake and BigQuery, optimizing ETL/ELT processes and integrating data into cloud-native apps with SQL and Python.
Builds and optimizes GCP-based data pipelines, models data in BigQuery, and creates dashboards in Looker Studio for analytics.
Build and maintain cloud-based data pipelines and warehouses for a retail company, enabling analytics, automation, and AI-driven decision-making with Google Cloud, BigQuery, Python, and SQL.
Designs and scales data governance practices using Python/SQL and GCP tools to ensure reliable, traceable, and well-cataloged data for business and tech teams.
Design and implement data-governance practices for regulated industries, using GCP tools like BigQuery, Dataplex, and policy tags to catalog, trace, and secure data assets end-to-end.
Build and maintain a modern data platform on Google Cloud Platform using Lakehouse and Medallion architecture, creating scalable pipelines and analytics-ready datasets for business teams.
Builds cloud data pipelines and analytics tools on GCP, integrating systems with Python, SQL, and ETL workflows.
Build and maintain robust data pipelines in GCP using Python, SQL, and tools like Airflow and Spark to ingest, transform, and monitor large-scale datasets.
Build and maintain scalable data pipelines on Google Cloud, enabling reliable analytics and modernizing legacy systems with Dataform, Python, and SQL.
Build and maintain scalable data pipelines for LATAM Airlines’ sustainability platform, integrating corporate sources into a reliable, traceable data architecture using GCP tools like BigQuery, Dataflow, and Dataform.
Build and optimize cloud data pipelines and warehouses (Snowflake/BigQuery) to power AI-driven analytics and BI for global consumer brands.
Designs and maintains scalable data pipelines and cloud data warehouses (Snowflake/BigQuery), optimizing ETL/ELT processes and enabling self-service analytics for distributed teams.
Build and optimize GCP-based data pipelines and Lakehouse architecture to transform raw data into strategic business assets using BigQuery, Dataform, and Medallion model.
Build and maintain scalable microservices in Node.js and Next.js on GCP, modernizing a logistics fleet-management platform while optimizing route-planning and GPS integrations.
Build and optimize BigQuery queries and ETL pipelines to automate marketing campaign data workflows for email, SMS, and push notifications.
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