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You’ll design, build, and maintain CI/CD pipelines for Java/Spring Boot apps and SAS Viya analytics on GCP, automate deployments, and ensure secure, highly available production environments for an anti-fraud platform.
Build and maintain data pipelines and APIs for a healthcare jobs marketplace, using Python, SQL, AWS, and React to power analytics and ML models.
Design and maintain a cloud-based lakehouse on AWS, building real-time ingestion pipelines with Kafka/Debezium and PySpark, and curating trusted analytics layers for fintech decision-making.
Build and maintain data pipelines, ETL processes, and data models for a global trading platform using Python, PostgreSQL, Airflow, and AWS.
Builds and scales GCP data pipelines with BigQuery to transform transit data into reliable inputs for leadership dashboards and support data-driven decisions.
Senior Data Engineer builds and maintains scalable ETL/ELT pipelines and data workflows for a fintech client, ensuring compliance and automation using Snowflake, DBT, and Airflow.
Build full-stack web apps and data pipelines for an online furniture retailer, using React, Node.js, Python, and cloud services like AWS and Databricks.
Designs and optimizes ETL/ELT pipelines in Oracle and GCP, building data flows with Airflow to feed reporting and analytics teams.
Designs and maintains Big Data pipelines, data warehouses, and analytics platforms using Spark, Hadoop, and cloud tools to enable data-driven business decisions.
Design and migrate on-prem data pipelines to AWS using Glue, Redshift, EMR, and Python; automate workflows with Airflow and monitor with CloudWatch/Kibana.
Build and deploy AI/ML systems for banking, including LLM pipelines, real-time microservices, and MLOps tooling using Python, cloud platforms, and frameworks like LangChain.
Build and deploy AI/ML systems for banking, including LLM pipelines, real-time model serving, and MLOps tooling in Python and cloud platforms.
Design, deploy, and manage cloud infrastructure on Azure and AWS, focusing on Kubernetes orchestration, containerization, and automation to support AI/data platforms for global clients.
Build and deploy AI/ML systems for banking, including LLM pipelines, real-time APIs, and MLOps tooling in Python and cloud platforms.
Build and deploy AI/ML pipelines, fine-tune LLMs, and integrate generative AI into banking systems using Python, cloud platforms, and MLOps tools.
Build and maintain AI-powered data pipelines, GenAI features, and full-stack apps for an Italian enterprise client using Python, cloud services, and modern JS frameworks.
Build and optimize scalable data pipelines and cloud-native apps using Snowflake, Databricks, Python and SQL to power reporting, analytics and operational processes for financial clients.
Build and maintain data pipelines and platforms at Pinterest, partnering with analysts and engineers to turn business needs into reliable, high-quality data products and insights using cloud tech and AI tools.
Build and modernize Java-based backend services with Spring Boot and Angular frontends, migrating legacy Struts/Oracle apps to PostgreSQL and cloud-native stacks.
Build and deploy large-scale ML systems to optimize ad delivery and revenue, collaborating with product and engineering teams in a remote-first environment.
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