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Senior Java backend engineer modernizing real-time DSP services with Kafka, Kinesis, Redis, and Docker to build high-throughput, low-latency systems.
Lead a high-load Java backend platform for a global fitness franchisor, designing microservices, cloud-native AWS solutions, and integrations to power member apps and franchise operations.
Maintain and harden production infrastructure, automate deployments, and troubleshoot issues using Kubernetes, AWS, and CI/CD pipelines.
Builds internal web apps for a real-estate brokerage using React, TypeScript, GraphQL, PostgreSQL, and AWS services.
Design and build modern data platforms on AWS, Azure, and GCP, including cloud data warehouses, streaming pipelines, and automation tooling for enterprise clients.
Design and build cloud-based data pipelines and platforms for clients, using Snowflake/Databricks/BigQuery and orchestration tools like Airflow/dbt to enable AI and analytics.
Design and operate scalable AWS-based data pipelines and platforms to power analytics and AI products, using Python, Scala, Spark, and Flink.
Builds scalable Python microservices (Flask/FastAPI, Celery) on AWS to power a UGC platform for brands, handling content collection, moderation, and distribution at scale.
Build and scale a modern cloud data platform (Snowflake/Databricks) to power analytics and reporting for a MAS-licensed fintech bridging fiat and digital payments.
Build and maintain cloud data pipelines for a major Chilean bank, integrating AWS and Azure services to ensure reliable, high-quality data for analytics and BI.
Build and optimize AWS-based data pipelines (ETL/ELT) using Glue, S3, Python/PySpark to ingest and transform customer data for analytics and automation.
Design and build AWS-native data pipelines and warehouses, transforming raw data into insights using Python, SQL, and Terraform.
Senior Java engineer leads large-scale data migrations and builds petabyte-level ETL pipelines using Java, Spark, and cloud platforms, while mentoring teams and ensuring data integrity.
Senior Java engineer designs and builds large-scale data migration and ETL pipelines using Java, Spark, and cloud services, while leading technical design and mentoring teams.
Build and deploy AI models for content personalization, newsroom automation, and recommendation systems using Python, TensorFlow/PyTorch, and cloud platforms.
Build and operate cloud-native data platforms using Python, Spark, and AWS/GCP, designing scalable ETL/ELT pipelines and modern data warehouses.
Senior engineer building and optimizing Roku’s data infrastructure to power streaming services and user experiences using Python/Java/Scala, Spark, Kafka, and cloud platforms.
Design and lead a modern, multi-cloud enterprise data ingestion framework, building scalable pipelines and governance controls to move batch and streaming data into cloud data lakes and warehouses.
Design and lead a modern, cloud-agnostic enterprise data ingestion framework, building scalable pipelines for batch and streaming data across multi-cloud environments.
Senior Data Engineer designs and builds scalable data pipelines, ETL workflows, and data lakehouse solutions using PySpark, Databricks, and Azure/AWS tools to deliver business insights for Toyota’s mobility operations.
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