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Analytics Data Engineer building and applying analytical methodologies on structured/semi-structured datasets using SQL, Python, and Databricks lakehouse workflows at Aon Life in Singapore.
Lead AI and full-stack development for a Singapore SME financing marketplace, building LLM-powered document analysis, credit/fraud models, and financial data pipelines using Python, modern web frameworks, and cloud platforms.
Senior Data Engineer designing and evolving ETL/ELT processes, implementing data ingestion/transformations in Data Lake/Warehouse/Lakehouse, ensuring data quality, and acting as technical lead. Core technologies: Databricks, Python, SQL, Spark.
Senior Data Engineer defining and evolving ETL/ELT processes, designing data ingestion and transforming data in Data Lake/Warehouse/Lakehouse environments using Databricks and cloud platforms (Azure/AWS/GCP).
Data Engineer / ETL focused on Microsoft Fabric, building ETL/ELT processes, Lakehouse architectures (Bronze/Silver/Gold), data modeling, and integration using Python, PySpark, SQL, and Power BI.
Data Engineer role focused on PostgreSQL and analytics, responsible for designing and maintaining data pipelines, optimizing database performance, and supporting analytics teams. Core technologies include PostgreSQL, SQL, Python, and Airflow for data processing and transformation.
Mid-Level Backend Engineer designing, building, and maintaining data pipelines and backend services for an Open Wealth Platform using ETL/ELT, Python, SQL/NoSQL, and CI/CD.
Builds and maintains scalable data pipelines for EA’s Localization team, processing structured/unstructured data to support AI/ML and analytics. Focuses on ETL/ELT, cloud-based solutions, and ensuring data integrity for global game localization.
Electronic Arts is hiring a Data Engineer to build and maintain scalable ETL/ELT pipelines for AI-driven localization projects. The role involves working with cloud platforms like AWS or Azure and using Spark to process large-scale multilingual game data.
Senior Data Engineer building and optimizing Snowflake data platforms, dbt-based ELT pipelines, and Reltio MDM integrations for a life sciences data company.
Data Engineering Lead at a tech outsourcing company in Dublin, responsible for designing and deploying scalable data systems for analytics and AI, driving large-scale data pipelines, mentoring engineers, and promoting best practices in cloud platforms and ETL/ELT workflows.
Design, build, and optimise Snowflake-based data platforms and ETL/ELT pipelines for an insurance client, working hybrid in Dublin with strong SQL and cloud ecosystem skills.
Leads design, development, and optimization of scalable data pipelines and frameworks for analytics/ML, integrating diverse data sources into unified platforms while mentoring engineers and ensuring system reliability and performance.
Senior Data Engineer owning Snowflake and dbt-powered data pipelines, models, and infrastructure for a sports fan engagement platform, spanning analytics engineering and data platform work.
Duties and Responsibilities: Quick Serve F&B Concept Supply Chain Leadership (primary focus) Design and stand up the end-to-end supply chain supporting first-store opening and subsequent multi-unit scaling,…
Designs and maintains Azure-based data platforms for a government client, focusing on hybrid ETL/ELT pipelines, data modeling, and enterprise data modernization with a strong emphasis on reliability and security.
Leads end-to-end data platform strategy, governance, and optimization for an enterprise, focusing on Microsoft Fabric, Azure Synapse, and related tools to modernize data infrastructure, ensure scalability, and deliver actionable insights for business stakeholders.
Designs and implements large-scale cloud-based data platforms, pipelines, and architectures for client digital transformation, focusing on ETL/ELT, cloud infrastructure, and DevOps automation.
Senior Data Engineer designing and building scalable data pipelines and transformation workflows using Databricks or Snowflake with dbt, following ELT and medallion architecture patterns for enterprise data platforms.
Design, build, and optimize scalable data pipelines on Google Cloud Platform, including data lakes, data warehouses, and ETL/ELT workflows orchestrated with Airflow or Cloud Composer.
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