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Build and maintain modern data pipelines using dbt, Snowflake, and CI/CD to create scalable analytics platforms for enterprise clients.
Build and maintain scalable data pipelines and infrastructure for a media company using Python, Spark, BigQuery, and GCP.
Build and maintain end-to-end data pipelines and BI solutions using SQL, Python, and Azure to power Pluxee’s data-driven decisions and AI transformation.
Maintains and optimizes data pipelines using AWS, SQL, Informatica, and Power BI to support analytics and reporting.
Builds scalable data pipelines in Python on GCP, models Snowflake warehouses, and integrates multi-source data for analytics and reporting.
Lead Data Engineer designing and building ML-powered forecasting pipelines in Python and SQL to improve activity prediction reliability for a climate-tech company.
Builds and maintains the backend services and AI pipelines for an enterprise-grade conversational AI agent using Python, FastAPI/Flask, LangChain, and Google Gemini Enterprise on GCP.
Design and review real-time data pipelines for AI training, implementing streaming patterns and validating event-time semantics across Kafka, Flink, and ksqlDB ecosystems.
Build and maintain data pipelines in Python and Databricks, ensuring reliable, high-performance data processing and transformation for clients.
Builds Python back-end services and AI pipelines for an enterprise GenAI assistant using FastAPI/Flask, LangChain, and Google Vertex AI on GCP.
ABOUT THE OPPORTUNITY Are you looking to grow your career in a company where you can eventually become a Partner? Would you like to work on projects for some of the world's leading technology companies? Then keep…
Designs and builds Snowflake-based data pipelines and modern data platforms, migrating legacy systems and optimizing performance in a multi-cloud environment.
Builds and maintains data pipelines, runs statistical analyses, and creates dashboards to support financial decision-making for a transport-sector client.
Build and scale EVA’s data infrastructure (BigQuery, dbt, Lightdash) to track player behavior, arena performance, and franchise KPIs, then deliver self-service dashboards and analytics that drive business decisions across marketing, operations, and game teams.
Build and maintain scalable data pipelines and BI infrastructure on GCP (BigQuery), using dbt and Trino to feed MicroStrategy dashboards and enable AI-driven insights.
Senior Data Engineer builds and operates a Spark-based Lakehouse platform (Databricks, Delta Lake, Azure) using Scala/Spark pipelines and cloud infrastructure.
Builds and maintains Hadoop-based data pipelines for a bank using Python and SQL, working 2 remote days per week in a Scrum team.
Build and maintain Nutripure’s data platform on GCP, ensuring reliable, fresh data pipelines and enabling analysts with clean models and observability.
Designs and optimizes Azure Lakehouse data pipelines for AI projects, ensuring data quality and preparing datasets for analytics and AI consumption.
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