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Sr Data Engineer (AWS)
Designs and maintains scalable AWS data pipelines using SQL, Python, and PySpark to ingest, transform, and serve data for analytics and ML.
Senior AWS Data Engineer: Scale Data Pipelines & Analytics
Design and maintain scalable AWS data pipelines for healthcare analytics, using SQL, Python, and AWS services like S3, Redshift, and Glue.
Principal Data Engineer
Lead data architecture and engineering for REA’s property platforms, designing scalable ETL/ELT workflows and cloud data warehouses to power analytics and user experiences.
Data Engineer
Design and maintain scalable data pipelines and Lakehouse/Warehouse solutions using Microsoft Fabric to modernize SCC’s analytics platform and integrate clinical, finance, and operational data for trusted insights.
Data Engineer, AI and Data, Technology Consulting
Build and maintain scalable data pipelines and cloud-based data solutions using Databricks, Snowflake, PySpark and dbt to power AI, analytics and reporting for enterprise clients.
Lead Data Engineer
Lead a team of data engineers to design, build, and optimize data pipelines and warehouses using Python, SQL, and cloud platforms like AWS/Azure.
Data Engineer - (AI & Databricks)
Builds scalable AI-enabled data pipelines on AWS and Databricks, integrating MCP servers and leveraging AI tools to automate and optimize engineering workflows.
Data Engineer - (AI & Databricks)
Builds scalable data pipelines and AI-enabled integrations on AWS and Databricks, leveraging MCP servers and modern data engineering practices.
Data Engineer
Design and build data pipelines to support renewable energy initiatives, analyzing energy production and consumption datasets using Python, SQL, and cloud platforms.
Data Engineer
Build and maintain Scope’s Microsoft Fabric data platform, integrating sources, developing lakehouse/warehouse assets, and creating metadata-driven pipelines for reporting and future AI use cases.
Data Engineer
Design and maintain scalable data pipelines and warehouses using SQL, Python, and cloud platforms to enable analytics and AI-driven insights for enterprise clients.
Data Engineer
Builds scalable data pipelines and real-time streaming platforms using Java, Kafka, and AWS services to power analytics and AI-driven decisions.
Lead Data Engineer
Lead hands-on data engineering work, designing and building scalable AWS and Databricks data platforms while mentoring engineers and aligning solutions with business needs.
Principal Data Engineer
Lead the technical vision for Medibank’s next-gen data platforms, designing scalable Databricks lakehouse architectures and AI/ML enablement while mentoring engineering teams.
Data Engineer
Design and build scalable AWS-based data pipelines and ETL/ELT processes using Snowflake and Kafka to support enterprise analytics and reporting.
Data Engineer
Design and maintain scalable data pipelines and warehouses using SQL, Python, and cloud platforms to enable analytics and AI-driven insights for enterprise clients.
Full Stack Developer - Healthcare Tech
Build and improve a healthcare SaaS platform using Python, Vue.js, and AWS; collaborate with teams to deliver reliable, maintainable features while responsibly leveraging AI tools.
Data Engineer III
Build and maintain scalable data pipelines for McDonald's Digital Payments systems using GCP, BigQuery, Airflow, Spark, and Kafka to ensure reliable, high-quality data for analytics and reporting.
Data Engineer - Associate Technical Architect
Design and build enterprise-scale AWS data platforms and Lakehouse solutions using Spark, Python, and Apache Iceberg, leading architecture through implementation and optimization.
Manager, Data Engineering
Lead a team building real-time streaming pipelines and audience segmentation for McDonald’s India’s CDP using Kafka, Flink, and GCP, ensuring low-latency data activation for marketing and loyalty systems.