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.
Data Analyst at Sberbank researching product metrics for corporate clients—how banking services affect satisfaction and revenue—using SQL, Python, and PySpark/Hadoop to build data marts, run ad-hoc analysis, and support BI reporting.
Data Analyst at Sberbank building Big Data solutions for back-office processing: designing data marts on Hadoop (Scala/Spark tool), working with Java integration services (REST, Kafka, gRPC), OpenShift, and Pangolin DB. Office-based in Moscow.
Analyst-developer on VK's search team, designing data marts, running A/B tests, and building metrics using Python, SQL, and YTsaurus (Hadoop) on-prem.
Стажер Data Engineer будет разрабатывать ETL-процессы и поддерживать пайплайны для системы динамического ценообразования, используя Python, PySpark, Hadoop и Airflow.
Lead the enterprise-scale Customer Data Platform at MTS, managing data architecture, engineering processes (Hadoop, Spark, Kafka, Airflow), data governance, and SLA for batch/streaming delivery to thousands of data consumers.
Build and lead the next-generation e-commerce backend platform handling millions of user requests daily using Java/Kotlin, microservices, and cloud-native tools like Kubernetes and AWS.
Designs and builds large-scale data pipelines in Scala, Spark, and Java to process 80–90 million records daily for financial services clients.
Senior backend engineer at Coupang building and scaling core member/authentication/data platforms that power the company’s global e-commerce operations using Java/Kotlin and cloud-native technologies.
The Data Architect will design and maintain database schemas, optimize SQL performance, and manage data flows for a large-scale centralized archival service. The role involves working with PostgreSQL, Greenplum, and Hadoop ecosystems within a microservices-based cloud environment.
Gracenote, the content data division of Nielsen, powers innovative entertainment experiences for leading media companies worldwide. Our advanced entertainment metadata and connected IDs enable seamless content…
Builds scalable data pipelines and frameworks for ingestion, processing, and storage, ensuring system correctness, performance, and adherence to best practices like automation testing and monitoring. Works with big data tools like Spark, Kafka, and Hive to solve business questions and maintain workflows.
Data Engineer at Merkle (dentsu group) designing and implementing cloud solution architectures, maintaining ETL processes, and provisioning databases for Fortune 500 and IBEX35 clients.
Senior Backend Spark Developer designing and optimizing Big Data pipelines on Azure Databricks using Apache Spark (Scala/Python) and SQL within a multinational digital technology services company.
Мы развиваем Автоматизированную систему «Платформа Кибербезопасности» — высоконагруженное решение для обработки и хранения больших данных. В основе нашей платформы лежат продукты SDP Hadoop и SDP Ozone, выступающие в…
Builds and automates data pipelines/tools for a major European e-commerce platform, collaborating with product/analytical teams to resolve issues and enhance data-driven services using Python, JVM languages, PySpark, and Google Cloud.
Builds and maintains scalable, containerized data infrastructure on Kubernetes and Linux, ensuring reliability of batch and streaming pipelines using Spark, Python, and cloud platforms.
The SRE Engineer will maintain and develop a high-load cybersecurity platform based on Hadoop and Ozone, ensuring system stability, security compliance, and CI/CD automation. The role involves managing Linux-based environments, monitoring critical data streams, and supporting integration with anti-fraud systems.
Data Scientist in Pune applying ML, LLMs, and predictive modeling on complex datasets to drive data-driven decisions in retail/quick commerce, using Python, SQL, and statistical techniques.
Design and implement machine learning models using Python and TensorFlow, collaborating with cross-functional teams to integrate ML algorithms into production systems in a fully remote freelance role.
Remote Data Engineer designing scalable data pipelines, optimizing storage and retrieval, and ensuring data quality using Python, Hadoop, Amazon RDS, ETL, and Git in collaboration with data scientists and analysts.
We couldn't check your fit for this role — add a CV to your profile to see it next time.