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Build and maintain cloud data pipelines on AWS, transform data in Snowflake with dbt and PySpark, and deliver analytics for regulated industries like banking and healthcare.
Design and build enterprise-scale data platforms using cloud services, Python, Spark, and modern data tools to enable AI-driven analytics and business transformation.
Staff Data Engineer builds and scales cloud-native data pipelines using PySpark, AWS Glue, Spark, and Airflow to modernize global data infrastructure in a regulated environment.
Build and maintain cloud-based data pipelines and warehouses using Azure Databricks, Snowflake, and AWS services to enable AI/ML-driven insights for enterprise clients.
Design and maintain cloud data pipelines on AWS, build ETL/ELT workflows, and optimize Snowflake data warehouses using PySpark, dbt, and SQL for analytics in regulated industries.
Lead the architecture and evolution of FloQast’s data platform, building scalable lakehouse pipelines with Apache Spark, Iceberg, Kafka, and AWS services to power analytics and product systems for 30,000+ tenants.
Leads a team to design, build, and optimize data pipelines that transform raw data into insights using SQL, Python, ETL tools, and cloud data services.
Build and maintain cloud-based data pipelines and AI-ready architectures, ensuring clean, accessible data for analytics and Gen-AI projects.
Lead a team building and deploying enterprise-scale ML pipelines and data platforms for JPMorgan Chase, using AWS, PySpark, TensorFlow, and responsible AI practices.
Build and maintain scalable data pipelines and warehousing solutions using Databricks, Spark, and AWS tools to support HR analytics and business intelligence at a global financial firm.
Lead a team of data scientists to build predictive models and automation for Sales Order Management, optimizing order quality and cycle times using Python, SQL, and process mining tools.
As an Analytics sales specialist in this rapidly expanding field, you'll drive growth by helping customers leverage emerging technologies that directly impact their technical capabilities and business success. You…
Build and maintain Murex-based derivatives systems, integrating trade data with reporting and accounting platforms using SQL, .NET/C#, Java, and ETL tools.
Lead a team building and integrating Murex-based derivatives systems for investment accounting, regulatory reporting, and trade lifecycle automation using SQL, .NET/C#, Java, and cloud data tools.
Builds data pipelines and predictive models to power executive dashboards and analytics for a defense contractor, using SQL, Tableau, and ETL tools.
Design and build AWS-based data warehouses and ETL pipelines to consolidate Amazon Advertising sales data, enabling self-serve analytics and reporting for internal teams.
Build and maintain large-scale data pipelines and warehouses for Prime Video using AWS and big data tools to power analytics and strategic decisions.
Build and maintain distributed billing systems that resolve AWS entity data and determine Seller of Record for invoices, using DynamoDB, OpenSearch, and Kinesis at massive scale.
Builds and maintains large-scale data pipelines and warehouses using AWS services like Redshift, Glue, and S3 to power analytics and reporting for AWS sales and operations teams.
Build and maintain Amazon Prime’s data infrastructure, designing ETL pipelines and warehouses to deliver real-time customer insights for marketing, retail, and leadership using AWS technologies.
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