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Data Engineer designing and maintaining a central data platform (Databricks, Snowflake, Python, SQL) supporting analytics and AI/ML workloads at a precision instruments company.
Builds and maintains data pipelines, migrating systems to a new framework while ensuring data quality, integrity, and reliability using Python, Java, Kafka, Airflow, and cloud storage solutions.
Data engineer designing scalable ETL/ELT pipelines with Python, Shell, and SQL on Hadoop/Linux infrastructure, collaborating with stakeholders to align technical solutions with business needs.
The AI Data Engineer will build and manage scalable data pipelines on Google Cloud Platform to support AI applications, specifically focusing on Retrieval-Augmented Generation (RAG). The role involves designing ETL/ELT processes and collaborating with data teams to extract insights from various data sources.
The Data Engineer will design, build, and maintain scalable data pipelines, databases, and data warehouses to ensure reliable data access for analytics and business reporting. The role involves implementing ETL/ELT processes and optimizing data infrastructure using technologies like Python, SQL, Spark, and cloud platforms.
The Junior Data Engineer will develop and maintain ETL/ELT pipelines, manage data lake and warehouse solutions, and ensure data quality for analytics. The role involves working with SQL, Python, Java, or Scala to support data integration and machine learning workflows.
The Cloud Data Platform Engineer will maintain, monitor, and scale cloud-based data infrastructure while implementing Infrastructure as Code. The role involves collaborating with architects to set standards and supporting data engineers by troubleshooting platform issues and automating deployment pipelines.
The Data Engineer will build and maintain ETL/ELT pipelines, manage cloud data platforms, and ensure data quality using Python, SQL, and various cloud data warehouse technologies. The role involves collaborating with cross-functional teams to support both batch and real-time data processing.
Build and maintain scalable data pipelines on Google Cloud to fuel AI systems, focusing on RAG workflows and high-quality data for machine learning models.
The Data Platform Engineer will design, build, and manage data pipelines, ETL/ELT processes, and data storage solutions like warehouses and data lakes to support business analytics and reporting.
The Junior Data Engineer will build and maintain scalable data pipelines, manage data lake architectures, and ensure data quality for analytics. The role involves working across cloud and on-prem environments to support ETL/ELT processes and collaborate with cross-functional teams.
The Senior Data Engineer will design and build a governed enterprise data platform on Azure Databricks, Unity Catalog, and Delta Lake. This role involves hands-on data engineering, data modeling, and pipeline development with a focus on SAP and manufacturing domain integration.
The Data Engineer will design, build, and maintain ETL pipelines, data warehouses, and data lakes to support analytics and ML workflows. The role requires proficiency in Python, SQL, and PowerBI to deliver scalable data solutions for the Oil & Gas sector.
The Junior ETL Data Engineer will design and implement scalable ETL/ELT workflows, manage data warehouse schemas, and develop automation scripts using Python and Shell. The role involves utilizing Hadoop ecosystem tools and advanced SQL to process large-scale datasets and support analytical requirements.
The Technical Architect will design and implement end-to-end data and AI solutions using Salesforce Data 360 and Agentforce. This role involves architecting scalable data models, RAG-based generative AI strategies, and integration frameworks to drive intelligent customer experiences.
Leads procurement strategy and contract management for VodafoneThree’s network engineering spend, collaborating with senior stakeholders to optimize sourcing, negotiations, and supplier relationships while aligning with business objectives and regulatory compliance.
Emirates Group's Analytics Centre of Excellence (ACoE) is seeking a Senior Data Quality & Automation Engineer in Dubai to design, implement and maintain data quality and automation platforms. You will…
The Data Engineer will design and build scalable data infrastructure and ETL/ELT pipelines to support AI and ML initiatives for a financial services client. The role involves collaborating with cross-functional teams to ensure data quality, security, and proper architectural documentation.
This Data Engineer role involves designing and maintaining scalable ETL/ELT pipelines and data infrastructure to support AI and machine learning initiatives within a financial services organization. The position requires strong proficiency in Python, SQL, and cloud data environments to ensure high-quality data accessibility for engineering teams.
Job Purpose At Emirates Group our Analytics Centre of Excellence (ACoE) is a centralized unit that provides data and analytics support to Emirates Group businesses. This allows our businesses to make better decisions…
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