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The Data Engineer will build and manage scalable ETL/ELT pipelines and data structures within a GCP and BigQuery environment to support AI models. The role involves working in a small team to optimize data performance and infrastructure costs.
The Senior Data Engineer will design, build, and maintain scalable data pipelines and infrastructure using AWS, Python, and SQL to support analytics and AI initiatives. The role involves optimizing data warehouses and ensuring data quality and governance within a cross-functional team.
Senior Database Administrator Position Overview The Senior Database Administrator is a highly skilled technical role responsible for the performance, availability, security and reliability of enterprise database…
The Databricks Architect will design and implement scalable enterprise data platforms, distributed processing solutions, and AI/ML architectures. The role focuses on building data pipelines and lakehouse architectures using Databricks, Apache Spark, and Delta Lake.
As a Data Engineer at PRODYNA, you will design and implement scalable data platforms, manage cloud migrations, and provide data integration solutions for diverse clients. The role involves working with technologies like Azure Data Factory, DBT, and various data modeling frameworks while supporting presales and client consulting activities.
Senior Data Platform Engineer responsible for managing and evolving PMI's data infrastructure—data catalog, quality, lineage, and observability components—on AWS using tools like Snowflake, Databricks, dbt, Terraform, and CI/CD pipelines.
The Data Engineer will design and build scalable, cloud-native data platforms and ingestion pipelines using Python, Spark, and cloud technologies. The role involves optimizing data infrastructure, implementing CI/CD practices, and collaborating with ML teams to support AI-ready data workflows.
The Cloud Data Engineer will design and maintain scalable data processing platforms and ETL/ELT pipelines using Azure Databricks. The role involves collaborating with cross-functional teams to model data for analytics and mentoring junior staff.
Hirexa Solutions is looking for a Senior Data Engineer to design and optimize scalable ETL/ELT pipelines using PySpark, Python, and Azure Data Factory. The role involves collaborating with cross-functional teams to ensure high-quality data processing in a cloud environment.
The Data Engineer will design, develop, and optimize scalable data pipelines and ETL/ELT workflows using PySpark, Python, and Azure Data Factory. The role focuses on processing large-scale data within enterprise environments and collaborating with cross-functional teams to ensure data quality and performance.
Solstice is seeking a Data Engineer to build and own the end-to-end data foundation for their pharmaceutical marketing and media measurement platform. The role involves designing pipelines to ingest, reconcile, and model complex third-party data using Python, SQL, and modern cloud data stack tools.
The Senior Data Engineer will manage the enterprise data platform and BI environment, focusing on Azure SQL databases, ETL/ELT pipelines, and Power BI reporting. The role involves collaborating with business leaders to govern datasets and implement effective data modeling techniques.
Mid-level Data Engineer building data pipelines, C#/.NET backend services, and Angular frontends in a hybrid role at an offshore outsourcing company in Quezon City.
Builds and maintains data pipelines, backend services, and frontend interfaces using C#/.NET and Angular to support business operations, ensuring scalability and security.
The Data Engineer will build and maintain ETL/ELT pipelines and data architectures within Google Cloud Platform for a retail and restaurant client. The role requires strong Python skills and experience with data modeling in hybrid cloud and on-premise environments.
This Data Engineer role focuses on designing and maintaining ETL/ELT pipelines using Snowflake to integrate and automate data processes. The position is a 6-month remote contract requiring expertise in SQL, data quality validation, and reporting tools.
The Data Engineer will design, implement, and maintain data infrastructure to support BI and analytics by building scalable pipelines and optimizing data models. The role requires proficiency in Python, SQL, Snowflake, dbt, and Azure.
Build and maintain scalable data pipelines and ETL/ELT workflows using Snowflake and Cortex to support reporting and governance in an Agile team.
The Data Engineer will design, build, and maintain scalable data pipelines and ETL processes to support business intelligence. The role requires expertise in Python, SQL, Snowflake, and Azure cloud services.
The AI Data Engineer will design and maintain scalable data platforms, ETL pipelines, and Power BI reporting while implementing AI and automation initiatives to support business operations. This is a full-time, onsite role based in East Tamaki, New Zealand, focusing on integrating data across retail, finance, and supply chain systems.
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