Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
Build and optimize scalable data pipelines on Databricks using Spark and Delta Lake, implementing ETL/ELT processes and ensuring data quality for analytics and compliance.
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.
Lead a team of engineers to build and deploy AI/GenAI systems on Databricks' lakehouse platform for enterprise clients, driving data-driven business outcomes.
Lead the design and scaling of data infrastructure for a media business, including data lakes, CDPs, and AI-powered analytics products that support editorial, subscriptions, and advertising teams.
Lead a team of AI and data engineers to migrate enterprises to Databricks' lakehouse platform and build GenAI systems, driving measurable business impact.
Build and optimize distributed data pipelines and AI analytics for networking using Spark, Kafka, Delta Lake, and Kubernetes in a cloud-native environment.
Design and build scalable data pipelines and platforms to power analytics and AI solutions using cloud technologies like AWS, Databricks, and Snowflake.
Build and maintain scalable data pipelines and platforms for geospatial analytics to support education planning and infrastructure decisions using Python, SQL, and cloud-native tools.
Build and maintain cloud-native data pipelines and lakehouse systems using Spark, PySpark, Iceberg, and streaming tools to modernize OCBC’s financial data infrastructure.
Build and own a streaming-first data platform for autonomous cleaning robots, designing medallion architecture and semantic layers to power real-time fleet analytics and LLM-driven insights.
Lead the design and delivery of enterprise-scale data platforms for a bank, building scalable Lakehouse architectures with Databricks, Snowflake, and Apache Iceberg/Delta Lake/Hudi to support regulatory reporting, risk management, and AI-driven analytics.
Builds scalable data pipelines and backend services using Java, SQL, and Scala to power analytics and reporting for a fintech company.
Build and maintain scalable data pipelines on Databricks using PySpark, refactor legacy ETL to modern ELT, and ensure data quality and reliability for analytics.
Build and maintain scalable AWS data pipelines using PySpark, Glue, Step Functions, and Lambda for a fintech client, while automating infra with Terraform and CI/CD.
Design and maintain scalable data pipelines and platforms using Databricks, PySpark, and cloud ecosystems for enterprise clients across multiple industries.
Build a streaming-first data platform for autonomous cleaning robots, designing medallion architecture and semantic layers to turn real-time telemetry into trusted fleet KPIs.
Build and maintain Goldman Sachs’ Lakehouse and AI data platform, designing scalable pipelines, curated datasets, and data-quality controls to power analytics and AI use cases in a fast-paced finance environment.
Principal Software Engineer at Cloudera leading the design of large-scale distributed systems using Java, Spark, Kafka, and Iceberg, while mentoring teams and solving complex data-platform challenges.
Build full-stack audit/compliance reporting tools in React/TypeScript and Java/Kotlin/Python, enabling stakeholders to generate, review, and deliver audit-grade reports with AI-assisted workflows.
Designs and implements scalable Microsoft Azure cloud and data platforms, building secure batch/streaming pipelines and ensuring governance and cost optimization.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
