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Build and deploy AI applications and data pipelines for a Singapore government agency, ensuring security compliance and operational reliability.
Job Description: Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals. Solve complex data problems to deliver insights that help the organization…
Build and optimize data pipelines, ETL/ELT processes, and cloud-based analytics systems using Snowflake, GCP, and Apache Ni-Fi to support AI-driven workloads for smart manufacturing.
Build and optimize Plaud’s data platform to power AI-driven productivity tools, focusing on data warehousing, ETL/ELT, governance, and cloud services.
Lead the design and scaling of data infrastructure for a media business, including data lakes, CDPs, and AI-powered analytics products that support editorial, subscriptions, and advertising teams.
Build and maintain cloud-native data pipelines and dimensional models in Snowflake for a modernized enterprise data warehouse on AWS, focusing on ingestion, ELT, and production-ready analytics.
Build AI-ready data pipelines and knowledge systems for an investment firm’s agentic AI, integrating structured financial data, unstructured research, and real-time feeds into vector stores, graph databases, and retrieval pipelines.
Build and maintain data pipelines and workflows using Python, SQL, and tools like Airflow or DBT to support data-driven decision-making.
Builds and maintains big-data pipelines using Hadoop, Spark, Hive, and SQL to transform raw data into analytics-ready datasets.
Build and maintain scalable data pipelines, integrate systems, and improve data quality for analytics and modeling in a cloud or data-lake environment.
Design and maintain scalable data models and ETL pipelines for a global fintech platform, ensuring clean, reliable data for analytics and AI use cases.
Designs and builds data pipelines and warehouses for a bank using Hadoop, Spark, and Teradata, enabling analytics and ML model development.
Build and scale a global data platform for a consumer internet company, designing data warehouses and pipelines to support content, e-commerce, and advertising ecosystems.
Design and build data pipelines, warehouses, and lakes for enterprise clients, using SQL, Python, and cloud platforms like Snowflake.
Builds and maintains backend systems for Shopee’s anti-fraud and data security platforms, using Go/Java/Python and big-data tools like Spark/Flink to support risk analysis and model training.
Build and maintain scalable data pipelines and platforms for geospatial analytics to support education planning and infrastructure decisions using Python, SQL, and cloud-native tools.
Teach data engineering, cloud, and analytics modules at a polytechnic while designing curriculum and guiding student projects using Python, Spark, and cloud platforms.
Build and maintain scalable data pipelines and models to power analytics and insights for TikTok’s Video-on-Demand services using Spark, Flink, and distributed OLAP stores.
Builds and owns large-scale data products handling petabytes of data, distributed systems, and ML pipelines to power advertising analytics and decision-making.
Senior Data Engineer builds scalable Snowflake pipelines and reusable ingestion frameworks for a fast-growing digital bank, optimizing cost and reliability across Singapore and Indonesia.
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