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The Senior Data Engineer will design and maintain scalable data pipelines, ETL processes, and data services across hybrid environments. The role involves collaborating with stakeholders to support analytics and MDM initiatives using technologies like Spark, Kafka, and cloud data platforms.
Data Engineer on GCP designing, building, and optimizing scalable data solutions, ETL/ELT pipelines, and Power BI dashboards using BigQuery, Dataflow, and Dataproc in Singapore.
Design and build data pipelines for smart-factory use cases, ensuring reliability and performance while translating business needs into technical specs.
우리는 게이머의 로망을 실현하기 위해, 누구도 가지 않는 길을 갑니다. 예상을 뛰어넘는 과감한 상상력과 기술로, 전 세계 팬들이 잊지 못할 세상을 만들기 위해 담대하게 도전하고 개척합니다. We pioneer the path to players' dreams. With bold imagination and breakthrough technology, we create…
Lead Business Analyst partnering with stakeholders to deliver Power BI analytics solutions for procurement and finance organizations, managing requirements, documentation, and UAT across cross-cultural teams.
The Data Engineer will build and optimize scalable ETL/ELT pipelines using GCP, Airflow, and Kubernetes to support enterprise data and analytics initiatives.
Мы верим, что новое качество жизни можно нести через реализацию потенциала современных цифровых услуг. Мы первые третий год подряд по скорости и покрытию связи среди операторов Казахстана по версии Ookla. Мы также…
The Data Engineer will build and maintain data models and ELT pipelines using Google BigQuery, dbt, and Python to support the agency's analytics and reporting. This role involves transforming advertising and content data into governed datasets and requires working on-site in Omaha.
Build and operate a data & analytics platform on Microsoft Azure, Fabric, and Power BI, developing ETL/ELT pipelines with Python, PySpark, and SQL while collaborating with business units on BI solutions.
Lead a team to design and implement enterprise-scale data pipelines and integrations for AI and automation projects, assessing feasibility and recommending cloud platforms like Azure or AWS.
Senior Data Engineer designs and builds ETL/ELT pipelines, data lakes, and reporting tools using Python, SQL, Spark, and AWS services for a vehicle lifecycle solutions provider.
Build and maintain scalable data pipelines and cloud infrastructure for an edtech platform, using dbt, SQL, Terraform, and AWS, while collaborating with US-based teams.
Designs and maintains cloud-based data pipelines (Bronze/Silver/Gold layers) using ELT, SQL, and BigQuery to ingest, transform, and optimize data for a global marketplace platform. Focuses on orchestration (Airflow), data quality, and integrations with downstream systems while collaborating on schema evolution and CI/CD deployments.
The Senior Data Engineer will design and maintain scalable data architectures and pipelines using Snowflake, Python, and SQL. This role involves setting data governance standards and collaborating with stakeholders to drive data-informed decision-making.
Senior Data Engineer designing, building, and maintaining cloud-based data pipelines for regulatory reporting (FATCA, CRS, PTR) at Westpac NZ, using Python, PySpark, SQL, and AWS services (Glue, S3, RDS/Aurora, DataSync).
Builds and maintains ETL/ELT pipelines for client data sources, collaborating with stakeholders to scope and optimize workflows while managing hybrid office/remote work.
Чем предстоит заниматься: проектирование, настройка и поддержка ETL/ELT пайплайнов (AirFlow/Kafka) проектирование и внедрение систем управления качеством данных настройка, поддержка и развитие каталогов данных (…
Data Engineer responsible for operating, supporting, and optimizing enterprise data platforms on Google Cloud Platform, managing ETL/ELT pipelines and ensuring data quality and security in an on-site role in Bogotá.
The Senior Data Engineer will design and optimize enterprise data platforms using Azure and Databricks. Key responsibilities include building scalable ETL/ELT pipelines, implementing Delta Live Tables, and managing data governance via Unity Catalog with a focus on FinOps and CI/CD practices.
The Data Engineering Specialist designs, develops, and maintains scalable ETL/ELT pipelines using Python, Dagster, and dlt. The role involves integrating data into cloud-based lakehouse architectures on AWS or Azure to support analytics and AI initiatives.
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