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Senior Data Engineer
Design and build scalable on-premise data pipelines and lakehouse solutions using Python, PySpark, and SQL Server to power data-driven decisions across a global banking group.
Senior Data Engineer
Senior Data Engineer builds and maintains on-premise data pipelines and lakehouse solutions using Python, PySpark, SQL Server, and Kubernetes to enable data-driven decisions across a global banking group.
Data Engineer: Scalable Pipelines for Analytics
Build and maintain scalable data pipelines using Python, PySpark, and SQL to feed enterprise analytics and reporting systems.
Data Engineering & Analytics Developer
Build and optimize data pipelines using Python, PySpark, and SQL to support analytics and reporting needs in a Singapore-based team.
Databricks Data Engineer | Contract
Design and maintain scalable data pipelines on Databricks using PySpark and SQL, ensuring data quality and compliance with IM8 standards while building dashboards for analytics.
Cloud Data Engineer: ETL Pipelines & Real-Time Data
Build and maintain scalable ETL pipelines using Talend, PySpark, and SQL to integrate data sources for analytics and ML workloads.
Foundry Data Engineer
Build and maintain Palantir Foundry ontologies, pipelines, and operational apps to model Nscale’s AI infrastructure and business workflows, partnering directly with teams to deliver trusted data products.
Lead Data Engineer
Lead a small team to design, build, and scale data pipelines and platforms using Python, SQL, and cloud tools, ensuring reliable data for analytics and ML products.
Data Engineer (Databricks)
Design and build scalable data pipelines on Databricks for a government client, ensuring data integrity and availability while supporting users with training and troubleshooting.
Senior Data Engineer - Spark & Cloud Data Pipelines
Designs and optimizes cloud-based data pipelines and warehouses using Spark/PySpark, SQL, and real-time processing to support analytics and data science teams.
Data Engineer
Design and maintain scalable data pipelines, ETL/ELT processes, and cloud-based data warehouses using Spark, SQL, and cloud platforms like AWS/Azure/GCP.
Data Engineer
Designs and builds data pipelines, warehouses, and reporting systems using Python, PySpark, Hive, and cloud platforms to support analytics and visualization tools like Tableau.
Data & AI Platform Engineer- #AIDA
Build and maintain data pipelines using PySpark, SQL, Databricks, and Kafka to feed analytics and GenAI systems, while assisting with RAG implementations.
AVP/VP, Data Engineer, Technology Group
Lead data engineering projects to build and maintain investment data platforms using Python, PySpark, AWS, and Databricks, enabling analytics and AI-driven insights for a sovereign wealth fund.
Senior Azure Data Engineer - Databricks & Data Pipelines
Designs and builds scalable Azure data pipelines using Databricks and Data Factory, writes PySpark/SQL code, and ensures data quality and migration in a fast-paced environment.
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.
Data Engineer - AVP/Manager
Design and build scalable cloud-native data platforms for a major bank, using Lakehouse architectures, real-time streaming, and AWS to deliver analytics-ready datasets.
Data Engineer - AWS PySpark ETL Pipelines
Design and maintain scalable AWS data pipelines using Python, PySpark, Glue, and Step Functions, plus serverless Lambda and Terraform infrastructure.
Data Engineer (AWS, PySpark)
Build and maintain scalable data pipelines on AWS using PySpark, Glue, Lambda, and Step Functions, while automating infrastructure with Terraform and CI/CD.
Senior Python Delivery Manager: Data Engineering & GenAI
Leads a Python/PySpark data-engineering team building a trade-surveillance system and integrating GenAI tools to improve delivery quality and team productivity.