Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
We are seeking a highly motivated and experienced DevOps Engineer to join our fast-paced development team. The ideal candidate will have strong working knowledge in Kubernetes and Container Orchestration, Configuration…
Designs and implements cloud-based ETL architectures and maintains data pipelines, leveraging cloud platforms, databases, and Big Data tools like Hadoop and Spark.
Designs, secures, and automates cloud infrastructure and CI/CD pipelines in Azure for DoD mission-critical data/ML systems, ensuring compliance with DoD security protocols.
Наша команда помогает развивать сеть банкоматов Сбера и обеспечивать ее бесперебойную работу. Мы погружены в разные части этого процесса — от AI-агента в банкоматах нового поколения до автоматизации обработки заявок на…
Builds and optimizes terabyte-scale ETL/ELT pipelines on AWS using Spark/Scala, debugging production issues and integrating Gen AI to accelerate workflows. Core tech stack: Spark, Scala, AWS EMR/S3, Snowflake, Kafka, Grafana.
Builds and maintains data pipelines using Databricks, focusing on ETL/ELT processes, data quality, and cloud-based data processing with Delta Lake, PySpark, and Unity Catalog.
Build and optimize cloud data pipelines using Azure/AWS and BI tools, then present insights to consulting teams across industries.
Build and maintain cloud data pipelines and BI reports for EY’s global consulting clients using Azure, Databricks, and BI tools.
Designs and maintains scalable data pipelines and analytics infrastructure using AWS, Hadoop, and Spark to process batch and real-time data for business insights.
Designs and builds scalable big-data pipelines using Hadoop, Spark, and Python to process and warehouse large datasets efficiently.
Senior Java/Big Data Engineer designs, builds, and mentors teams on scalable data solutions using Spark, Kafka, and Hadoop, while ensuring CI/CD integration and robust SDLC practices.
Builds and optimizes large-scale data pipelines and processing systems using Apache Spark, Hadoop, and cloud platforms to enable data-driven insights and analytics for the company’s operations.
Старший аналитик данных разрабатывает и поддерживает методологию расчета метрик наблюдаемости данных (Time2Data и компонентов) для банка, анализирует отклонения и улучшает качество данных. Работает на стыке аналитики, Data Governance и продуктовой стратегии, взаимодействуя с владельцами сервисов для обеспечения прозрачности и доверия к данным.
The Data Engineer will build and maintain scalable data pipelines and architectures using Python, Databricks, Snowflake, SQL, Spark, and Hadoop. This role involves collaborating with global teams on high-impact data and analytics projects.
Designs and maintains Spark/Scala-based data pipelines and platforms, migrating Hadoop workloads to cloud while ensuring data quality and performance for BNP Paribas Personal Finance’s global data products.
Develops AI agents and LLM systems for Sberbank’s ATM network, including pipeline building, model experimentation, and quality assessment. Works on both modern AI solutions (LLMs, RAG) and traditional ML/NLP tasks like text classification and embeddings.
Select how often (in days) to receive an alert: Select how often (in days) to receive an alert: Please be advised that our Careers site will be unavailable from November 28 at 12am ET to November 29 12am ET for…
ABOUT US Acceldata is the market leader in Enterprise Data Observability. Founded in 2018 and backed by top investors including Insight Partners, March Capital, Lightspeed, Sorenson Ventures, Industry Ventures, and…
Principal Engineer defines the technical vision for Acceldata’s Open Data Platform, leading architecture and open-source contributions for scalable, distributed data systems powering enterprise analytics and AI.
Staff Engineer architecting and leading development of the Acceldata Open Data Platform, a petabyte-scale distributed data infrastructure system. Core tech: Java/Scala, big data stack (Hadoop, Spark, Kafka, etc.), Kubernetes, and multi-cloud environments.
We couldn't check your fit for this role — add a CV to your profile to see it next time.