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The Data Engineer will manage cloud environments, build data pipelines (ETL/ELT), and support data scientists by optimizing data infrastructure. The role involves working with AWS, Azure, Databricks, and various programming languages like Python and Java to maintain scalable data solutions.
Senior Java engineer leading architecture and AI-driven workflows for streaming data pipelines using Kafka, Flink, and AWS, while mentoring teams and championing agentic AI practices.
As a Senior DevOps Engineer, you will be responsible for: Design, implement, and manage scalable, secure, and highly available cloud infrastructure for GenAI-based platforms (Azure-focused). Develop, maintain, and…
Команда Поиска ищет Аналитика-инженера в MusicSearch. Мы создаем поисковый движок, который позволяет ассистенту на устройствах находить нужный трек, исполнителя, плейлист или подкаст. Инженер данных в нашей команде —…
Designs and maintains hybrid data infrastructure (SQL Server, Azure Synapse, Data Lake) and builds automated ETL pipelines to ensure secure, scalable analytics and reporting.
Design and maintain scalable data pipelines in Palantir Foundry using Python, PySpark, and cloud services to process pharmaceutical/life-sciences data.
Build and maintain Snowflake-based ELT pipelines and dbt semantic models to power a multi-country fintech analytics platform that delivers credit solutions to users and merchants across Latin America.
Trainee role assisting with building and maintaining data pipelines using Python, SQL, and Big Data technologies like PySpark and Apache Spark.
Senior/Lead Data Engineer builds and scales production-grade data systems, including pipelines, services, and storage solutions for data collection, processing, and delivery using Python, Airflow, and NoSQL databases.
Salary: Daily Rate on Offer Join a global brand on an exciting data transformation journey. This is a hands-on opportunity for a Data Engineer who enjoys solving problems, learning new technologies, and contributing to…
As a Senior Data Engineer at EIFFEL, you will design and optimize data platforms and architectures for various clients using Microsoft technologies, SQL, Python, and ETL tools. You will also mentor junior colleagues and bridge the gap between technical data solutions and business needs.
Build and own large-scale data pipelines for an ad-tech platform, processing high-volume advertising data with Java/Scala (Spark/Flink) and Python to power reporting, analytics, and audience intelligence tools.
The BI Architect will design and implement an AI-first BI platform from scratch using Snowflake, dbt, and Fivetran. The role involves building governed data models, establishing KPIs, and mentoring a junior specialist to ensure long-term maintainability.
Мы формируем отдельное направление мастер-данных и ищем инженера, который поможет построить и развивать его технический контур. Операционные хранилища, интеграционные потоки, история изменений, правила обработки и…
This role involves designing and maintaining ETL/ELT processes using Azure Data Factory, Azure SQL, and Informatica PowerCenter. The consultant will work on data integration and transformation tasks within a distributed team environment.
Designs and builds scalable cloud-based data pipelines, warehouses, and transformations using Snowflake, DBT, and ETL tools to support analytics and business intelligence.
The Data Engineer will design, develop, and maintain ETL/ELT processes using Informatica PowerCenter, Azure Data Factory, and Microsoft Fabric. This role involves optimizing SQL queries, integrating data from various sources, and collaborating with architects to modernize data environments.
Senior Data Engineer will own the end-to-end data architecture. You will build and scale high-throughput, low-latency pipelines that handle sensitive financial transactions, fraud detection, risk modeling, and…
The Senior Data Engineer will design and maintain robust ELT pipelines and data infrastructure on Snowflake to support financial reporting and analytics. The role involves collaborating with governance teams to ensure data quality and security using tools like dbt, Python, and Terraform.
Data Engineer maintaining and evolving a data platform for an iGaming company — owning dbt data models, ELT pipelines, cloud data warehouses, and supporting B2B customers via Metabase dashboards.
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