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Build and maintain high-throughput data pipelines for a credit-scoring platform, using Python, PySpark, SQL, and Airflow to process large volumes of financial data.
Builds and optimizes data pipelines in Azure Databricks and Data Factory using PySpark, SQL, and Python to process and store data in cloud storage and databases.
Senior Investment Data Analyst builds and maintains AI-enabled investment data pipelines, using SQL, Python, and Snowflake to validate and analyze asset-class data for reporting and process improvements.
Build and automate data pipelines, migrate legacy systems to modern platforms, and ensure data accuracy and reliability for a fintech lender.
Build and maintain data platforms on Databricks and cloud engines to enable clients to make efficient decisions using Python, PySpark, and SQL.
Design and build scalable AWS data pipelines, integrating multiple sources with Python/PySpark and SQL to deliver clean, high-impact datasets for business teams.
Build and maintain data pipelines for financial analytics in a gaming company, ensuring reliable real-time and batch processing for payments and reporting using SQL, Python/Java, and streaming tools like Kafka.
Build and scale a modern data platform for a MAS-licensed fintech bridging fiat and digital payments, designing pipelines, warehouses, and analytics to support cross-border transactions and business growth.
Senior backend engineer building and optimizing a distributed SQL query engine in Java/C++ for a large-scale data lakehouse platform used by Fortune 500 companies across finance, energy, manufacturing, and logistics.
Designs and maintains scalable data pipelines, edge apps, and cloud infrastructure using Spark, Kafka, and cloud services to enable real-time analytics and ML at Vodafone.
Build and maintain scalable data pipelines on Databricks and Azure, using PySpark/Scala and SQL to process manufacturing or energy data for analytics and reporting.
Build offline perception models for autonomous trucks, using deep learning and sensor fusion to auto-label data for training and simulation.
Design and deploy production-grade AI/ML systems for Modaxo’s mobility portfolio, focusing on scheduling, LLMs, and predictive analytics while ensuring scalability and regulatory compliance.
Builds and validates cloud-based healthcare data pipelines using SQL, Python, and PySpark in Azure Synapse, transforming EHR and HL7/FHIR feeds into reliable datasets for analytics.
Senior Data Engineer designs and builds scalable data pipelines and platforms using Python, Spark, SQL, and cloud tools like Databricks or Snowflake to power analytics and AI.
Build and maintain data pipelines that ingest high-bandwidth sensor logs from autonomous trucks, curate datasets for ML training, and provide visualization tooling for autonomy engineers.
Build and maintain ML data pipelines for autonomous trucking, curating high-quality sensor annotations and delivering on-demand training data to perception models.
Build and scale data pipelines that auto-tag petabytes of autonomous-truck logs, turning raw sensor data into curated driving scenarios for ML and simulation teams using Python, Databricks, and AWS.
Build and deploy ML models for 3D scene reconstruction, lane detection, and HD map creation using LiDAR/camera data to generate high-quality annotations for autonomous trucking systems.
Build and scale Torc Sim, a simulation platform for autonomous trucking models, enabling replay, evaluation, and visualization of perception and behavior ML systems at scale.
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