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Senior Data Engineering
Build and own a Databricks Lakehouse data warehouse and real-time pipelines for a financial trading business, modeling customer, order, trade, and market data with Kafka, Flink, and Spark.
Head, AI Data Solutioning, AI Data Engineering, xData
Leads AI data engineering at a Singapore government agency, designing scalable data pipelines and governance for AI systems that support national security.
Head of Data Engineering
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.
Data Engineer (Snowflake).
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.
Data Engineer for AI‑Driven Public Platforms
Design and scale enterprise-grade data pipelines and platforms for GeBIZ X, a government procurement product, while integrating AI/ML capabilities to drive insights and decision-making for public officers and suppliers.
AI Data Engineer , Marketplace Intelligence & Data (2027 Graduate)
Build and optimize data pipelines for AI models powering Shopee’s ecommerce platform, focusing on multimodal data processing and closed-loop evaluation systems.
Data Engineer, Global Risk & Anti-Fraud
Build and maintain real-time and batch data pipelines for risk and anti-fraud systems, including feature stores, device fingerprinting, and behavior analytics using Java/Scala/Python, Flink, Spark, and ClickHouse.
Big Data Engineer (Libra) - Data Platform
Build and maintain PB-scale data warehouses and ETL pipelines for a large-scale A/B testing platform, using Spark, Flink, Presto, and Hive.
Senior Data Engineer Databricks
Build and optimize scalable data pipelines on Databricks using PySpark, Delta Lake, and cloud platforms to modernize legacy ETL and deliver reliable data solutions.
Senior Data Engineer (Java/SQL)
Builds scalable data pipelines and backend services using Java, SQL, and Scala to power analytics and reporting for a fintech company.
Databricks Data Engineer
Build and maintain scalable data pipelines on Databricks using PySpark, refactor legacy ETL to modern ELT, and ensure data quality and reliability for analytics.
Data Engineer
Design and maintain scalable data pipelines and warehouses to power analytics and ML, using SQL, Python/Java, and tools like Spark and Presto.
Big Data Engineer (Libra) - Data Platform
Builds and maintains PB-scale data warehouses and ETL pipelines for a large-scale A/B testing platform, using big data tools like Spark, Flink, and ClickHouse.
Databricks Certified Data Engineer
Design and maintain scalable data pipelines and platforms using Databricks, PySpark, and cloud ecosystems for enterprise clients across multiple industries.
Data Engineer
Build and maintain scalable data pipelines and warehouses, optimize ETL workflows, and ensure data quality for analytics and ML using SQL, Python, Spark, and cloud AI tools.
Data Engineer
Design and build scalable data pipelines and warehouses that feed analytics and ML models, using SQL, Python/Java, and Spark.
Architect - Data Engineering and Analytics
Lead the design and delivery of scalable data platforms and analytics solutions using Databricks, Snowflake, and Tableau to enable self-service BI and advanced analytics across Finance, Supply Chain, and other domains.
Data Engineer DevOps
Build and optimize data pipelines for semiconductor manufacturing using AWS, PySpark, Redshift, and Python to support analytics and AI initiatives across global fabs.
DATA ENGINEER
Build and maintain Azure Databricks pipelines and PySpark/SQL workloads on Delta Lake to integrate financial and ESG data for reporting and analytics.
Snowflake Data Engineer (w/m/d)
Build and optimize Snowflake-based data platforms for clients, designing ELT/ETL pipelines and data models while collaborating with cross-functional teams.