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Senior Data Engineer - AVP
Build and maintain cloud-native data pipelines, lakehouses, and real-time streaming systems using Spark, Iceberg, and cloud services to modernize a bank’s data infrastructure.
Senior Data Engineer - AVP
Build and maintain cloud-native data pipelines and lakehouse systems using Spark, PySpark, and Apache Iceberg to power real-time analytics and modernize legacy banking workloads.
Data Engineering, Lakehouse and AI Data Platform Engineer, Analyst/ Associate, Singapore
Build and maintain Goldman Sachs’ Lakehouse and AI data platform, designing scalable pipelines, curated datasets, and data-quality controls to power analytics and AI use cases in a fast-paced finance environment.
Principal Software Engineer
Principal Software Engineer at Cloudera leading the design of large-scale distributed systems using Java, Spark, Kafka, and Iceberg, while mentoring teams and solving complex data-platform challenges.
Data Engineer ambito Big Data
Build and maintain scalable big-data pipelines using Spark, Kafka, NiFi, and Iceberg to move and transform data from source to analytics-ready layers with zero data loss.
Software Engineer
Build and enhance a multi-dimensional indexing engine for Data Lakehouses using Java, Scala, and Rust, supporting open table formats like Iceberg.
Senior Data Engineer: Real-Time Retail Media & Forecasting
Build the real-time data backbone for a new adtech standard that turns physical retail shopper behavior into anonymized, measurable audiences using edge computing, streaming pipelines, and privacy-preserving AI.
(Sr) Data Engineer Retail Media, Measure & Forecast
Build the data backbone for a new global Retail Media channel: transform raw sensor streams from thousands of stores into real-time measurement, forecasting, and attribution systems using Spark, Kafka, Trino, and privacy-preserving pipelines.
Senior Data Engineer
Build and maintain cloud or on-premise data pipelines and advise clients on modern data solutions using Python, SQL, Spark, and cloud platforms.
Data Modeler / Big Data Engineer
Designs and maintains scalable data models and architectures for a bank’s enterprise data platform using Cloudera, Hadoop, and Apache Iceberg.
Senior Data Engineer
Design and build an AI-ready Data Lakehouse in Saudi Arabia using Delta Lake/Iceberg, Spark, and Kafka, ensuring compliance with NCA/NDMO standards.
Senior Data Engineer
Build and maintain the data pipelines and retrieval layer that power Mirai’s Generative AI products on AWS, including vector stores, embeddings, and governed datasets.
Senior Data Engineer (AWS)
Build and maintain cloud-native data pipelines on AWS, landing data into Snowflake via dbt Cloud and Python, while optimizing performance and cost for analytics-ready datasets.
Senior/Staff Engineer, Liquidity Platform, Data Engineer (Data Platform)
Build and operate a high-throughput crypto market-data platform: ingest exchange APIs, run streaming/batch pipelines, and maintain storage backends like Iceberg, ClickHouse, and PostgreSQL to serve trading desks and analytics.
Data Engineer - Systematic Data Group
Build and maintain systematic option data platforms for a hedge fund, collaborating with quants to deliver real-time pricing and reference data for trading decisions.
Big Data Engineer
Design and build end-to-end big-data pipelines using Spark, Python/Scala, Airflow, and cloud platforms (AWS/Azure/GCP) to process and store data at scale.
Senior Data Engineer (Hybrid) | Cubao
Designs and builds scalable data pipelines and warehouses using Python, Spark, and Snowflake to support analytics and ML workloads for enterprise clients.
Senior Data Engineer: Lakehouse & NebulaGraph Architect
Designs and builds scalable data architectures using Apache Iceberg, NebulaGraph, Spark, and Airflow to ensure traceable, governed, and accessible data pipelines.
Azure Databricks Data Engineer
Build and optimize large-scale data pipelines using Scala, Python, PySpark, and Databricks on Azure, designing cloud-native data architectures for enterprise clients.