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A senior (7+ years) data & integration engineer who designs, builds, and maintains scalable data pipelines, ETL/ELT workflows, and SQL data models, integrating REST/Graph APIs and enterprise apps into cloud platforms (Azure or AWS) with workflow automation via Power Automate or Logic Apps.
Senior Data Engineer at CoffeeBeans (hybrid, Bangalore) owning end-to-end client data engagements from architecture through delivery, building scalable batch and real-time pipelines, data lakes/lakehouses, and warehouses. Core stack: Python, SQL, Databricks, Spark/Flink, Airflow, dbt, and cloud data services.
Senior engineer in Hyderabad who designs, administers, and optimizes SQL Server and MySQL databases, builds ETL/ELT pipelines and system integrations, and develops REST APIs and backend applications. Daily work spans SQL/stored procedures, backend code (.NET/C#, Node.js, Java, or Python), job automation, and production support.
Database Developer at Developmental Pathways (hybrid, Aurora, CO) who builds, maintains, and optimizes SQL Server databases, the enterprise data warehouse, and ETL/ELT (SSIS) pipelines, plus reporting objects (SSRS/Power BI) for enterprise reporting. 4-day work week; must reside in Colorado.
Buscamos un Corporate Data Manager con visión y experiencia en entornos cloud para liderar la evolución de la arquitectura de datos en una compañía internacional en pleno proceso de transformación. ¿Por qué este…
Data Engineer developing, maintaining and optimizing Big Data solutions on AWS, building ETL/ELT pipelines with PySpark, real-time processing with Spark Streaming and Kafka, SQL transformations and Iceberg/Delta Lake tables. Fully remote role from anywhere in Spain on a long-term project.
Senior Data Engineer for the NSW Government's Department of Planning, Housing and Infrastructure, based in Parramatta with flexible working. They build secure, scalable data pipelines with SQL, Azure Data Factory, Python/PySpark and Azure serverless tools, and lead the department's migration to Microsoft Fabric.
Hands-on technical leadership role owning the strategy, architecture, and build-out of EndeavorB2B's enterprise cloud data platform (e.g., Snowflake). Day to day: designing ELT/ETL pipelines and data models, establishing governance and privacy compliance (GDPR/CCPA/CPRA), building audience intelligence and monetization, and preparing data for AI initiatives.
Senior Analytics Engineer on Rivian's Product Development Data & Analytics team in Irvine, CA. Day to day: architecting ELT pipelines and data models with dbt on Databricks (Unity Catalog), building dashboards in Hex/Databricks AI/BI, and democratizing data for self-service analytics across vehicle program teams.
Senior Data Engineer in Singapore who designs, builds, and optimizes production-grade data pipelines for smart factory use cases, translating business needs into technical data architecture. Core stack includes Python, SQL, Apache Spark, Hadoop, MySQL/PostgreSQL, Industrial IoT integrations, and AWS or Azure.
A Data Engineer / Analytics Engineer builds and maintains the client's data platform, developing data models and transformation pipelines with DBT as the ETL/ELT tool and heavy SQL, including staging/marts layers, testing, documentation, and query optimization, on-site in Sant Cugat del Vallès.
Mid-level backend engineer at Flanks, a Barcelona-based fintech startup, designing and maintaining Python data pipelines and backend services that aggregate clients' financial assets for wealth managers. Work centers on ETL/ELT pipelines, SQL/NoSQL query optimization, testing, and Docker/CI-CD deployment.
Senior/Staff Data Engineer owning and evolving the data platform (ETL/ELT pipelines, data warehouse, data quality) for Cerebras, an AI chip company. Day-to-day involves building production data pipelines in Python and SQL on cloud infrastructure (AWS/GCP/Azure) while partnering with analytics and engineering stakeholders.
Senior analyst on Bechtel's Project Information Management team for the Poland AP1000 nuclear project, building enterprise-scale analytics, data pipelines, and reporting on the project's Common Data Environment. Core stack: Databricks, Azure data services, Power BI, SQL, Python, and Spark, plus AI/ML for automation and insights.
Principal engineer designing and shipping production-grade multi-agent AI systems on AWS, leading architecture across cloud, data, and AI/ML while mentoring teams and setting technical direction.
Lead end-to-end architecture for cloud, data, and AI systems, designing scalable, secure solutions and mentoring teams to ship production-ready AI in 30–45 days.
Lead the design of cloud, data, and AI systems for enterprise clients, setting technical direction and mentoring teams to ship production-ready AI in 30–45 days.
Design and deliver cloud, data, and AI/ML systems as a Senior Cloud Architect, building microservices, serverless and containerized workloads, implementing IaC and CI/CD pipelines, and shaping data and model deployment architectures using Python and modern AI tools.
Desde AMBIT estamos buscando un/a Data Analyst Junior para incorporarse al equipo de Negocio y Datos de una compañía especializada en el análisis de datos de ventas dentro del sector veterinario. La compañía desarrolla…
Designs and builds production-grade ETL/ELT pipelines and Lakehouse platforms on Azure/AWS Databricks using PySpark, Spark SQL, Delta Lake, and Unity Catalog, supporting BFSI modernisation, migration, and AI-ready data programs. Full-time, pan-India role for engineers with 5–10 years' experience including 3+ years hands-on Databricks.
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