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Builds and optimizes distributed data pipelines using Apache Spark (Python/Scala) to process large datasets for enterprise clients.
Designs and builds scalable data pipelines and warehouses using cloud tools (AWS/Azure), SQL/NoSQL, and big-data frameworks (Spark, Kafka) to enable analytics and ML for clients.
Designs and builds cloud-based data pipelines and ETL workflows on Azure or GCP, using Python/Java/Scala, Spark, Kafka, and Airflow to modernize and migrate enterprise data systems.
Designs and builds scalable ETL/ELT pipelines and data platforms using Hadoop, Spark, and Splunk, integrating HR data sources and collaborating with BI and analytics teams.
Build and secure data pipelines for a banking client, using Scala, Spark, and cloud platforms to process large-scale data into reliable, business-ready datasets.
Senior Data Engineer designs scalable data pipelines and lakes, builds robust data models, and optimizes processes using Hadoop, Spark, Python, Java, or Scala.
Designs and maintains Big Data pipelines, data warehouses, and analytics platforms using Spark, Hadoop, and cloud tools to enable data-driven business decisions.
Build and run ML experiments to guide product and business decisions at a payments infrastructure company.
Design and migrate on-prem data pipelines to AWS using Glue, Redshift, EMR, and Python; automate workflows with Airflow and monitor with CloudWatch/Kibana.
Principal Software Engineer designs and optimizes large-scale data pipelines and architectures for ZoomInfo’s technographic data platform, integrating ML and ensuring data quality.
Lead AI/ML model development for enterprise-scale financial data reconciliation, deploying Agentic AI and LLMs to optimize banking operations and risk processes.
Design and lead a next-gen cloud data platform using AWS (S3, Redshift, Athena) and modern data governance, migrating legacy systems to event-driven architectures.
Build and maintain ETL pipelines, ensure data quality, and support analytics using SQL, Python/Java/Scala, and cloud platforms like Azure.
Build and maintain ETL pipelines and cloud data infrastructure for a large Canadian retailer with financial services, ensuring data quality for analytics and reporting.
Lead the design and optimization of large-scale data pipelines and architectures for ZoomInfo’s technographic data services, integrating ML models into data workflows.
Build and maintain ETL pipelines and cloud data infrastructure for large-scale datasets, collaborating with analysts and scientists to ensure data quality and availability.
Build and optimize scalable ETL pipelines using Azure/Hadoop to ensure reliable data flow for analytics at a large retail company.
Senior hybrid role building and maintaining data pipelines with PySpark, Spark, and HDFS, plus SQL and user support for analytics teams.
Build and maintain high-performance Java backend services for trading and fintech platforms using Spring Boot, MySQL, Redis, and distributed systems.
Lead a Java team building e-commerce or consumer platforms; drive architecture, code reviews, and AI-driven features in Spring/Kotlin ecosystems.
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