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Leads a team of data scientists to design, build, deploy, and monitor ML models end-to-end, bridging business needs with technical execution in a fintech environment.
Build and optimize high-throughput backend services for Allegro’s checkout and purchase path using Java/Kotlin, Spring, and MongoDB in a cloud-native GCP environment.
Builds secure, AI-ready data pipelines and retrieval systems for enterprise GenAI agents, focusing on ingestion, normalization, vector search, and governance across tools like SharePoint, Git, and monitoring systems.
Lead a team that builds and maintains Samsara’s petabyte-scale data lake and analytics platform, using AWS, Spark, and modern data-lake formats to power IoT-driven insights for industries like transportation and manufacturing.
Build and maintain data pipelines and infrastructure for medical analytics, enabling data scientists to develop care-gap and HCP prioritization models using healthcare data sources.
Why SoftwareOne? SoftwareOne is a global provider of software and cloud solutions. With a presence in over 70 countries and more than 12,000 professionals, we help organizations optimize software investments, modernize…
Build and deploy scalable data pipelines and AI infrastructure for enterprise clients, focusing on ETL/ELT, vector databases, and real-time streaming to power AI-driven solutions.
Principal Data Engineer designs and scales enterprise-grade data infrastructure and real-time pipelines for AI-driven product analytics and autonomous agents at Salesforce’s AgentExchange.
Build and maintain a cloud-based data platform using Azure, Snowflake, dbt and Airflow to deliver reliable, scalable data products for BI and analytics teams.
Senior Data Engineer builds and maintains scalable data pipelines and warehouse models to deliver trusted insights for Salesforce’s AI CRM and Slack integrations.
Design, automate, and maintain cloud infrastructure for demos and POCs using Terraform, Ansible, and CI/CD pipelines to support Salesforce’s AI CRM sales cycles.
Build and operate cloud data pipelines and services using Python, Google Cloud, and Terraform to power PAYBACK’s data-driven marketing platform for 31 million users.
Analyze payment datasets to spot trends, build analytics pipelines, and deliver optimization recommendations for merchants using Python, SQL, and PySpark.
Build and scale data infrastructure for AI workloads, including ingestion pipelines, data lakes, and Kubernetes-based processing systems.
Build and scale Databricks-based data pipelines and ETL for Adobe’s Pro Design products, enabling AI-driven analytics and experimentation with telemetry and governance in Unity Catalog.
Build and optimize enterprise-scale data pipelines and warehouses on Snowflake using Python, PySpark, AWS, and Airflow to power analytics and reporting.
Builds and maintains a petabyte-scale data lakehouse platform for Sberbank, handling batch/streaming data ingestion, ETL pipelines, and data quality controls using Hadoop, Spark, Kafka, and Iceberg/Paimon.
About Xtillion Xtillion is a fast-growing AI solutions firm helping organizations build, operationalize, and scale high-value AI systems. We deliver end-to-end solutions, from design to deployment in real-world…
Design and build enterprise-grade data platforms, pipelines, and warehouses for government clients using Python, AWS, and big-data tools like Spark and Airflow.
Lead marketing analytics projects, build cloud-based ELT pipelines, and create dashboards to optimize campaigns and business integration across markets.
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