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The Big Data Engineer will design and build scalable data pipelines and streaming solutions using PySpark, Scala, and various big data technologies. The role focuses on optimizing distributed data platforms and processing large-scale datasets within an enterprise environment.
The Backend Engineer will design and maintain core big data platform products, including scheduling and data management systems, using Java, Python, or Go. The role focuses on building scalable, high-quality backend infrastructure to support massive-scale business operations.
SberData - департамент по управлению данными всего Сбербанка. SberData строит централизованное хранилище данных, объем которого уже превышает 100 ПБ. Это продуктово-ориентированная инженерная команда с функциями…
Senior Data Scientist supporting AFSOC at RAF Mildenhall, designing data pipelines, building ML models, and performing analytics using Python, R, Spark, Hadoop, and cloud platforms like Databricks and Snowflake.
Apexon is a digital-first technology services firm specializing in accelerating business transformation and delivering human-centric digital experiences. We have been meeting customers wherever they are in the digital…
Description As a Lead Data Engineer or architect at Made Tech, you'll play a pivotal role in helping public sector organisations become truly data‑lead, by equipping them with robust data platforms. You’ll join a…
Company: Colten Care Overview Jobs for Humanity is dedicated to building an inclusive and just employment ecosystem. This posting invites applicants from Refugee, Neurodivergent, Single Parent, Blind or Low Vision,…
Maintain and optimize Sberbank’s internal Hadoop-based data platform (SDP Hadoop), troubleshoot Linux systems, and automate operations for a 100+ PB storage environment.
The Senior Data Engineer will design and maintain scalable data pipelines and models using Spark, Kafka, Delta Lake, and Hadoop. The role involves building real-time data flows on Azure and managing data lake governance.
The Senior Data Engineer will design and maintain scalable data pipelines, ETL/ELT processes, and lakehouse architectures on Azure to support healthcare analytics. The role requires expertise in Python, SQL, and big data technologies like Spark and Kafka to ensure high-performance data processing and compliance.
Middle Data Scientist on a customer-facing team building and tuning ML models for financial risk prevention solutions, using Python, Bash, Java/Scala, and Big Data stacks like Spark/Hadoop.
The Senior IT Project Manager will lead a large-scale Hadoop environment decommissioning and data migration initiative for a global financial institution. The role involves managing complex infrastructure, data platform, and application migration projects over an 18-month contract.
Senior Data Engineer responsible for designing and maintaining ETL pipelines in a Cloudera environment, collaborating with product owners and developers to process banking data in real-time and batch modes.
Build and maintain data pipelines for a banking team using Spark and Cloudera, ensuring reliable batch and real-time data flows for regulatory reporting.
Data Engineer working on data integration and analysis projects, building ETL pipelines and Java-based solutions in Hadoop/Cloudera environments for a Rennes-based agency.
Designs and builds data pipelines and ETL processes, collaborates with teams to gather requirements, and ensures data solutions meet business needs.
Develop physics-based, data-driven, and hybrid models for steel production processes, manage structured and unstructured data, and support Digital Twin initiatives using Python, ML, and big data technologies at a global steel plant manufacturer.
Develop physics-based, data-driven, and hybrid models for steel production processes, manage structured and unstructured data, and perform statistical analysis—primarily using Python and its scientific stack within an industrial research team.
Data Engineer at ICT company Craon, designing and managing scalable data pipelines using Python/Scala, SQL, Big Data platforms (Spark, Hadoop, Hive, Cloudera), and Cloud services (AWS, Azure, GCP) on an enterprise project. Hybrid in Milano/Torino.
Data Engineer building scalable data pipelines, ETL/ELT processes, and integrating heterogeneous data systems in an enterprise context using Python/Scala, SQL, Spark/Hadoop/Hive, and cloud platforms (AWS/Azure/GCP with BigQuery/Redshift).
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