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Big Data Engineer - Intern
Build and maintain big-data pipelines and analytics platforms using Spark, Hadoop, and cloud tools to turn manufacturing and tech data into business insights.
Data Engineer (Commodities)
Builds high-performance data systems for a global commodities trading firm, ingesting complex datasets (weather, freight, satellite) and enabling rapid research pipelines with Python, SQL, and modern data tools.
Data Engineer
Designs and builds cloud-based data pipelines and warehouses using AWS, Databricks, and Informatica to support healthcare analytics and predictive modeling.
Senior Data Engineer
Design and maintain scalable ETL pipelines and data models for a large insurer, using Hadoop, Spark, and cloud platforms to support analytics and dashboards.
AI Data Engineer
Build and maintain AI-powered data pipelines for clinical and sensor data, integrating with cloud platforms and AI algorithms to support healthcare analytics.
AI-Powered Data Engineer
Build and deploy AI models to analyze data, generate insights, and improve business performance using Python, SQL, Spark, and AWS.
Senior Backend Engineer - Marketplace Intelligence & Data (Shared Components)
Builds scalable ML infrastructure and distributed systems for Shopee’s marketplace, focusing on vector search, indexing, and agent workflow orchestration.
Java/ Data Backend Engineer (Flink, Spark) - Trading Insights
Build and optimize Java Spring Boot microservices for data processing using Flink and Spark to power trading insights at a leading crypto exchange.
Data Engineer (AI Infrastructure)
Build and optimize large-scale data pipelines to support AI model development using Python, Spark, and SQL.
Data Engineer
Build and maintain data pipelines, warehouses, and ML models on Azure Databricks using Python, Spark, and TensorFlow to power analytics and predictions for a global logistics firm.
Data Engineer
Design and build scalable cloud data platforms, ETL/ELT pipelines, and lakehouse solutions using Python, Spark, Kafka, and Airflow to support enterprise AI initiatives.
Data Engineer Data Engineering & Analytics Team (Data & AI)
Design and maintain scalable data pipelines, ETL/ELT processes, and data models to support analytics and reporting for a clean-energy company.
Big Data Engineer, Data Solutions
Design and maintain scalable ETL pipelines and data warehouses to power TikTok’s ad-data systems, using Spark, Hive, and dimensional modeling.
Data Engineer
Builds and maintains metadata-driven data pipelines in Azure Data Factory and Databricks, migrating large historical datasets to Cloudera Cloud with reconciliation and audit processes.
Data Engineer
Designs and builds scalable big-data pipelines using Hadoop, Spark, and Python to enable analytics and business intelligence for enterprise clients.
Data Engineer
Build and maintain scalable data pipelines using Spark, Scala, and Elasticsearch to power AML and financial crime compliance solutions on Quantexa.
Data Engineer
Build and optimize cloud-based data pipelines and warehouses using AWS, Databricks, and Informatica for healthcare analytics and AI/ML workloads.
Data Engineer
Design and maintain scalable ETL pipelines using Python, SQL, Hadoop, and Spark to integrate and process enterprise data for analytics and reporting.
Senior Data Engineer
Build and maintain scalable data pipelines in Databricks/Snowflake, ingest external financial data, and enforce data quality and governance for a fintech platform.
Data Engineering Lead
Lead a cloud-first data engineering team to build and maintain robust data pipelines, migrate legacy systems to Snowflake and AWS Glue, and ensure high-quality data flows for analytics and reporting.