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WeRoad is seeking a Staff/Lead Data Engineer to lead a small senior team and shape the data platform. You will own the BigQuery warehouse, dbt transformations, and data pipelines, while guiding governance and AI‑driven…
Design, develop, and optimize data solutions on Google Cloud Platform (GCP), building scalable data pipelines using services like BigQuery, DataFlow (Apache Beam), and Cloud Storage.
Design, build, and operate cloud data systems and pipelines for batch and streaming data, using Python, AWS, big data tools like Hadoop and Spark, and data warehousing concepts to support analytics and ML workloads.
Lead complex, multi-org data and platform programs within the Adobe Unified Platform team, requiring deep expertise in data lifecycles, data platforms, and ETL/ELT ecosystems.
Привет! 👋 Мы — дата-инженерная команда внутри Управления экспериментальных систем машинного обучения SberAI. Наша миссия — поставлять качественные мультимодальные датасеты в продуктовые команды, которые развивают…
Designs and optimizes Snowflake-based data platforms, tuning performance and costs while ensuring secure access and governance.
Consultant designs and builds cloud data pipelines, warehouses, and platforms for clients, advising on architecture, governance, and modern data tech like AWS/Azure and Spark.
Consultant designs and implements cloud data platforms and pipelines for clients, translating business needs into scalable architectures using AWS/Azure/GCP, SQL, Python, and big-data tools.
Build and maintain dbt pipelines, ETL/ELT processes, and data models; integrate APIs and LLM-based enrichment to improve data quality and analytics for a product-focused team.
Lead the delivery of multiple AI and Data Engineering engagements — managing pods, reviewing architectures, and engaging clients — with deep hands-on knowledge of LLMs, RAG, Agentic AI, data pipelines, and cloud platforms.
Senior Data Analyst designing, developing, and maintaining interactive Power BI dashboards, reports, and analytical solutions using Power BI, SQL, DAX, and Azure data services to deliver actionable business insights.
Build and maintain ETL/ELT pipelines and Python backend services to process and deliver football analytics using PostgreSQL, ClickHouse, and cloud infrastructure.
Develops Data Warehouse architecture, ETL/ELT processes, SQL queries, and C#/.NET applications (including CRM) using Star/Snowflake schemas, SQL/T-SQL, Microsoft Dynamics 365 Business Central, and Power BI.
Senior Full Stack Engineer with a focus on data infrastructure, designing and owning end-to-end data pipelines, storage, and retrieval systems while contributing to broader product architecture and AI-ready system design.
Data Analyst in SberAds builds and maintains compliant, high-quality data pipelines between the ad platform, Sber, and ecosystem services, using SQL, Python, and Spark to ensure clean, reliable data flows.
As a Senior Data Engineer on the Recommendations and adVantage teams, you will build and own the data foundation behind Truecaller's recommendation and advertising ML systems, including feature pipelines, streaming event ingestion, training datasets, and real-time feature serving, using Python, Spark, and cloud infrastructure.
Designs and maintains scalable data pipelines, warehouses, and lakehouse architectures to support analytics and business transformation, using SQL, cloud platforms, and distributed processing tools like Spark.
Разрабатывает AI-агенты и ML-решения для банковских продуктов юридических лиц, интегрирует модели и данные, обеспечивает их промышленную эксплуатацию с использованием Python, SQL и больших данных.
Data Engineer especializado en AWS que diseña, desarrolla y mantiene procesos ETL/ELT para integración y transformación de datos en entornos cloud, con enfoque en migración de Oracle a AWS y procesamiento distribuido con Apache Spark.
Designs, builds, and operates scalable data platforms/ETL pipelines for analytics and AI, working in hybrid/cloud environments (GCC/MCC) using PySpark, Spark SQL, Talend, and supporting GenAI/LLM workloads.
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