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Designs and implements big-data pipelines and analytics solutions using Hadoop and Python for a data-focused tech company.
Build and maintain data pipelines, AI models, and transformations using GCP, Dataiku, Python, and SQL to turn raw data into business insights for enterprise clients.
Builds and maintains scalable big-data pipelines using Spark, Hadoop, and Elasticsearch to process financial crime and fraud data for a global bank.
Builds and optimizes large-scale data pipelines using Scala, Spark, Kafka, and Airflow to process massive datasets for global stakeholders in the mobile app ecosystem.
Senior Data Engineer designs and builds scalable data pipelines and warehouses, mentors junior engineers, and ensures reliable data delivery for analytics and business insights.
Design, build, and optimize large-scale data pipelines and warehouses for a finance-automation SaaS, ensuring data quality and accessibility for analytics and product teams.
Build and maintain scalable data pipelines and AI-ready cloud infrastructure using Python, PySpark, and cloud platforms to support analytics and machine learning workflows.
Lead a team building and optimizing scalable ETL/ELT pipelines in Python using Hadoop, Spark and Splunk to deliver reliable data for HR analytics and reporting.
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.
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