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Business Analyst at an e-commerce house of brands in Tel Aviv, responsible for deep funnel and KPI analysis, A/B testing evaluation, and driving an AI-first analytics approach using SQL, Tableau, BigQuery, and Databricks.
Tech Lead Data Engineering role on client site, designing and industrializing GCP-based data pipelines, infrastructure (Terraform), orchestration (Airflow), and visualization (Streamlit) end-to-end.
Full Stack engineer building a modern data platform (ingestion, processing, governance) on AWS/GCP with Kubernetes, Airflow, React/Angular/Vue front-ends, and Python/Java back-ends.
Build and optimize an embedded analytics stack for livestock performance, from data ingestion to OLAP modeling and BI dashboards.
Data Engineer designing and developing ETL/ELT pipelines, setting up data warehouses and lakes, and maintaining data infrastructure using Kafka, DBT, Spark, Snowflake, GCP, Azure, Kubernetes, and Airflow.
Data engineering consultant at Zenika (ESN) designing and maintaining data pipelines, evolving architectures to cloud (GCP/Databricks), mentoring clients, and participating in discovery phases—using Python, SQL, DBT, Airflow, Spark, and Terraform.
Design and develop scalable data pipelines and dashboards using Airflow, dbt, and GCP to support business intelligence and decision-making at a payment company.
Senior Data Engineer joining a 10-person BI team at HiPay to design, build, and optimize data pipelines and data-viz components on GCP (BigQuery, Cloud Run) using Python, SQL, Airflow, dbt, and Looker.
Design, develop, and optimize AWS data pipelines using services like Glue, S3, Redshift, Athena, EMR, and Kinesis, with SQL and PySpark, to deliver reliable datasets to analysts and scientists.
Designs data pipelines and dashboards to transform and analyze client data in Data Lake/Warehouse environments using SQL, Python, and Power BI.
Senior Cloud/Airflow DevOps engineer developing cloud infrastructure services (IaaS/PaaS) and contributing to the Group's global private cloud using Python, Airflow, and open-source tools.
Build and scale AI-powered business tools and automation for SeatGeek’s internal teams, shipping containerized services daily using Python, Go, and modern cloud infrastructure.
SeatGeek believes live events are powerful experiences that unite humans. With our technological savvy and fan-first attitude we’re simplifying and modernizing the ticketing industry. The SupportX team is dedicated to…
SeatGeek is looking for a Senior Machine Learning Engineer to design, build, and deploy production-ready ML systems for pricing, demand forecasting, and fraud detection. The role involves collaborating with cross-functional teams to maintain ML infrastructure using Python, AWS, and MLOps best practices.
Build and scale SeatGeek’s ticketing platform, shipping containerized services daily using Python, Go, React, and AWS while optimizing marketplace performance and user experience.
Design, develop, and maintain ETL/ELT data integration pipelines on a Corporate Data Platform using SQL, Python, Spark, Databricks, and cloud services, collecting and transforming data from business and manufacturing systems.
Roles & Responsibilities About the Role We are looking for a Senior Software Engineer to lead the development of scalable AI-powered systems that process and extract insights from unstructured engineering…
Roles & Responsibilities About the Role The Project Engineer will work closely with project leads, clients, vendors, and technicians to ensure smooth project execution from construction phase to data center…
Build core infrastructure primitives—authorization, audit, orchestration, and domain models—for an AI compute platform, making AI agents first-class operators of data center systems using LLM APIs and agentic frameworks.
Platform engineer building internal infrastructure tooling—CMDB, asset management, DCIM, monitoring, and automation—using Python/Go, PostgreSQL, Redis, Docker, and Terraform at a cloud compute provider.
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