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Build and maintain data pipelines and cloud infrastructure for a fintech company, ensuring reliable data flow and supporting analytics and decision-making.
Build and optimize cloud-native data infrastructure and CI/CD pipelines for a global AdTech platform handling massive real-time workloads using AWS/GCP, Kubernetes, and Terraform.
Build and maintain scalable data pipelines for IoT telemetry using PySpark, Airflow, and Iceberg on AWS, ensuring high-quality data for analytics and billing in a clean-cooking fuel company.
Designs and maintains AWS-based data pipelines, builds scalable ETL/ELT processes, and ensures reliable data delivery for analytics and reporting in a hybrid work setup.
Design and maintain scalable AWS data pipelines, ETL/ELT processes, and cloud data warehouses to support analytics and business decisions.
Build and maintain secure, production-ready data pipelines and integrations to expand data usage across the organization.
Design and maintain data pipelines and customer datasets to power AI-driven personalization at a leading Australian proptech company, using SQL, Airflow, BigQuery, and DBT.
Build and maintain data pipelines and datasets for customer insights, using SQL, Airflow, BigQuery, and DBT to transform and validate data across REA Group’s property platforms.
Build and maintain production-grade data pipelines, integrations, and AI-enabled analytics for a modern estate-planning platform.
Build and maintain production-grade data pipelines, models, and integrations for analytics, AI tools, and embedded products at a modern estate-planning fintech.
Build and maintain real-time AML data pipelines and ML models using Spark, Kafka, and cloud platforms to detect money laundering for financial institutions.
Build and maintain ETL/ELT pipelines to integrate sports and entertainment data into a cloud data warehouse, cleanse data, and support BI reporting.
Build and maintain ETL/ELT pipelines to integrate sports and entertainment data into a cloud data warehouse, cleanse and standardize data, and support BI reporting.
Build and deploy Generative AI systems using LLMs, RAG pipelines, and cloud infrastructure; work with Python, LangChain/LangGraph, vector DBs, and SQL.
Build and maintain secure, scalable cloud data platforms using Databricks, AWS services, and Terraform to enable governed data processing and analytics.
Mid-level Data Engineer builds and maintains data pipelines to support revenue decisions, collaborating with marketing, sales, and finance using SQL, Python, Databricks, and Google Cloud Platform.
Builds and maintains data pipelines in Databricks and SQL to feed revenue analytics and strategic decisions for a fintech company.
Builds and maintains data pipelines for revenue operations, integrating marketing, sales, and finance data to support strategic decisions in a fast-paced product company.
Build and maintain data pipelines and models in Databricks and BigQuery to integrate CRM, marketing, and finance systems and power revenue analytics for a SaaS business.
Build and maintain data pipelines and models in Databricks and BigQuery to power revenue analytics and forecasting for a SaaS-like product company.
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