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AVP/VP, Data Platform Engineer - SRE, Technology Group
Lead reliability and automation for GIC’s enterprise data platforms, applying SRE best practices to ensure high availability and performance while collaborating with cross-functional teams.
Senior Data Engineer - QuantumBlack
Senior Data Engineer building scalable ML pipelines and GenAI applications using Python, PySpark, Kedro, and cloud platforms to deliver AI solutions for enterprise clients.
Senior Data Engineer - L3 Operations (DNA)
Oversee data virtualization/visualization systems (Tableau, OAS, Sagemaker) and cloud operations, ensuring security compliance and performance while managing team projects and governance.
Senior Data Engineer ( AWS & AI Platform )
Senior Data Engineer builds and maintains AWS-based data pipelines (batch/streaming) with Databricks, Kafka, and AI services like Bedrock and Gemini, ensuring reliability and integration with BI dashboards.
Data Engineering Manager
Leads data infrastructure on Alibaba Cloud (MaxCompute, Hologres, PAI), designing scalable pipelines, optimizing ETL/ELT workflows, and mentoring engineers to ensure high-quality, secure, and future-proof data systems for business needs.
Cloud Data Engineer
Designs and builds cloud data pipelines, warehouses, and analytics platforms using AWS, Databricks, and Informatica for healthcare clients.
Data Engineer - QuantumBlack
Builds and maintains scalable data pipelines, GenAI applications, and advanced analytics platforms for McKinsey’s QuantumBlack AI division, collaborating with clients and cross-functional teams to solve high-impact business problems using Python, PySpark, Kubernetes, and cloud technologies.
Data Engineer (Junior to Lead roles available)
Builds and optimizes data pipelines using Informatica/IDMC or Databricks with Python, integrating sources and delivering clean data for analytics teams.
Data Engineer (ETL & PySpark)
Designs and builds scalable ETL pipelines using Python, PySpark, and SQL to process large datasets and power analytics and reporting systems.
Data Engineer / Analytics Engineer
Build and optimize scalable data pipelines and dbt projects to power Decathlon’s ecommerce, stores, and logistics across APAC using Python, SQL, Spark, and cloud platforms like AWS and GCP.
Lead Data Engineer
Lead a team to design and build scalable data architectures using Databricks, Apache Spark, and cloud platforms to power analytics and modern applications for a global financial services firm.
Data Engineer II
Build and maintain scalable data pipelines on Databricks to power analytics and insights for GetGo’s carsharing platform, ensuring data quality and accessibility for business decisions.
Data Engineer (Spark)
Migrate and optimize data pipelines from Talend to Spark, building scalable PySpark/Scala workflows and integrating them with cloud platforms and orchestration tools.
Data Engineer
Builds and maintains scalable data pipelines on Azure Cloud, using PySpark, Azure Synapse, Data Factory, and ADLS Gen2 to process, transform, and automate large datasets for business needs.
Data Engineer
Designs, builds, and maintains enterprise data pipelines, warehouses, and BI dashboards to support analytics and decision-making using Python, SQL, and cloud tools like Azure and Snowflake.
Data Engineer
Build and maintain data pipelines, warehouses, and ETL/ELT workflows using Spark/Databricks and SQL to power analytics and web apps for Aon’s risk and people solutions.
(Senior) DevOps Engineer- AI Innovation
Design and maintain scalable cloud infrastructure and CI/CD pipelines for AI/ML platforms, using Terraform, Kubernetes, and AWS/GCP.
Lead Software Engineer
Lead a team building secure, scalable financial systems using Python, Java, and cloud tech; design microservices, optimize databases, and drive DevOps practices for JPMorgan’s banking platforms.
DevOps Site Reliability Engineer
Own and improve the reliability of production Kubernetes and AWS systems, automate CI/CD pipelines, and lead incident response for a fintech/crypto trade surveillance platform.