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Design, develop, and maintain ETL/ELT pipelines and data architecture on Microsoft Azure (Data Factory, Databricks, Synapse) for Manulife's data warehouse in a hybrid setup in the Philippines.
Build and own Serval’s first unified data warehouse, consolidating fragmented data from Postgres and SaaS systems into a scalable, self-serve analytics layer. Partner with business teams to define key metrics and tools, ensuring data-driven decision-making while setting infrastructure standards for an AI-native automation platform.
Analytics Engineer bridging data engineering and business analysis, transforming raw data into reliable analytical assets, building ETL/ELT pipelines, and ensuring data governance in a hybrid setup near Neuilly-sur-Seine.
Senior Data Engineer designing and building cloud-native data platforms and ETL/ELT pipelines to power enterprise AI/ML solutions across manufacturing, supply chain and finance at a global electrification company, using Python, SQL, Databricks, Spark and cloud platforms.
Senior Data Engineer designing and optimizing large-scale data pipelines on an AWS Lakehouse architecture using DBT, Spark, Iceberg, and Airflow, with IaC via Terraform and containerized deployments.
Senior Data Scientist at GRVTY designing and maintaining data pipelines, ETL processes, and geospatial data solutions for DoD and Intelligence Community clients using Python, SQL, and cloud architectures.
Data Engineer focused on data governance and security for a financial institution, optimizing ETL/ELT pipelines in Python, managing Cloud/Data Lake ecosystems, and enforcing data access controls and traceability.
Backend developer bridging backend and data engineering on a greenfield content platform for a media client, using Java 21, Python, Go, and AWS services to build data pipelines and APIs.
Senior Data Engineer responsible for designing, building, and optimizing data infrastructure—including ETL/ELT pipelines, cloud data warehouses, and data lakes—using Python and SQL, with a focus on CI/CD, data quality automation, and observability at Console Connect in Singapore.
Build and scale data infrastructure for traffic and road IT analytics, developing ETL/ELT pipelines, SQL, and Python code on AWS cloud while ensuring data quality and operational excellence across agile squads.
Design, build, and maintain data pipelines, data models, and analytics-ready datasets using Microsoft Fabric, Azure data services, and medallion architecture patterns for a government education institute.
Data Engineer building and maintaining data pipelines and analytics-ready datasets using Microsoft Fabric, Azure data services, SQL, and Python within a government education institution.
Designs and builds modern data ingestion pipelines on Azure/Snowflake, migrating legacy ETL processes to scalable, reusable components for real-time and batch data processing.
Design, develop, and optimize scalable ETL/ELT data pipelines using Python, PySpark, and SQL for a Singapore-based consulting firm serving banking clients.
The Data Engineer will build and maintain large-scale pipelines to process unstructured data, integrating AI models and vector embeddings to support national security analytical systems. The role focuses on high-throughput data transformation, hybrid search indexing, and multimedia processing.
Design and maintain high-throughput pipelines that ingest and transform unstructured data into vector embeddings for semantic search, powering national security analytics.
Data engineer designing and deploying data warehouses, data lakes, and real-time pipelines using SQL, Python, SSIS, and cloud platforms (AWS/GCP/Azure), building ETL/ELT processes and backend APIs for analytics applications.
Hands-on Snowflake Data Engineer designing, building, and operating ingestion and ELT pipelines for a cloud-native analytics platform on AWS and Snowflake, including dimensional modeling, SQL optimization, and data quality assurance.
Builds and maintains scalable data pipelines, warehouses, and APIs to power analytics and applications using SQL, Python, and cloud platforms.
Data Engineer architecting and maintaining cloud-based data analytics infrastructure on AWS, Databricks, and IDMC, designing data lakes, ETL/ELT pipelines, and automation playbooks.
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