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Senior Data Engineer in Singapore designing, building, and maintaining scalable data pipelines with Python, SQL, and cloud platforms. The role involves hands-on ETL/ELT work, data modelling, warehouses and lakes, and Airflow orchestration, collaborating with data architects, analysts, and developers.
Data Engineer at Tap Growth ai in Singapore who designs, builds, and maintains data pipelines powering BI dashboards with near real-time reporting. Day to day involves modeling data in Redshift/S3 and developing Tableau dashboards, using strong SQL and collaboration with business stakeholders.
Singapore-based (office) data engineer focused on business intelligence: gathering reporting requirements from stakeholders, building curated data models in Amazon Redshift/S3, and developing Tableau dashboards and data documentation via AWS Glue. Core stack is SQL, AWS (Redshift, S3, Glue) and Tableau, with Python as a plus.
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.
Responsibilities Design, develop, and enhance scalable web applications across front-end and back-end components. Build responsive and user-friendly interfaces using modern web technologies and frameworks. Develop…
Senior Data Engineer building enterprise-scale data platforms using Python, Snowflake, and SQL, focusing on ETL/ELT pipelines, data modeling, performance tuning, and governance.
Designs and maintains scalable data pipelines and architectures using SQL, Python, and big data tools to support AI-driven business solutions in Singapore.
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