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Associate, Full Stack Data Engineer
Build and maintain scalable data pipelines, AI/ML Ops, and full-stack platforms for a global bank, ensuring data quality, governance, and security across hybrid cloud architectures.
Full-Stack Data Engineer — Associate, Data Platform
Designs and builds scalable data pipelines and AI/ML platforms for financial analytics using Python/Java and cloud tools like Snowflake and EMR.
Data Engineer - Dashboard (QuickSight/Tableau)
Build and maintain data pipelines and interactive dashboards (QuickSight/Tableau) for a government analytics platform, supporting decision-making and policy implementation.
Lead Data Engineer
Lead the design and maintenance of scalable ETL pipelines and data models for an insurer, ensuring data quality and alignment with business needs using Hadoop, Spark, and cloud platforms.
Analytics Engineer: Build Data Pipelines & Dashboards
Build and maintain data pipelines and analytics tools to deliver insights via SQL, Python, and BI platforms for data-driven decision-making.
Data / Analytics Engineer (AIOps & Observability)
Builds data pipelines for logs and infrastructure metrics, enables AI-driven log correlation, and creates dashboards to surface operational insights for AIOps.
Data / Analytics Engineer ETL,POWER BI AND SQL
Builds ETL pipelines and Power BI dashboards for a Singapore bank, integrating logs and infra data to feed AI-driven AIOps analytics and incident insights.
Senior Data Engineer
Designs and maintains scalable data pipelines, warehouses, and lakes using SQL, Python, and cloud platforms (Azure/AWS/GCP).
Senior Data Engineer
Design and build scalable data pipelines and warehouses to power analytics and AI, using Python/Java, SQL, and Spark in a collaborative, data-driven environment.
Senior Data Engineer
Design and build scalable data pipelines, warehouses, and AI-driven automation for a mobility-focused tech company using Python, Airflow, dbt, and cloud platforms.
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amazon web services (aws) Senior Data Engineer, Sales Insights, Analytics, Data Engineering and Science (SIADS)
Build and maintain AWS’s APJ data analytics platform, designing pipelines, data lakes, and ETL processes to power sales insights and business decisions across the region.
Data Engineer with ETL Experience | Permanent
Build and maintain ETL pipelines to integrate and clean data from databases and APIs, ensuring reliable data flows for analytics on cloud platforms like AWS or Azure.
Senior Data Engineer - MPID Team
Builds and optimizes Shopee’s Marketplace data warehouse, designs pipelines for real-time and batch data, and mentors junior engineers.
Junior Data Engineer
Builds and deploys Python/FastAPI backend services and GenAI pipelines using LLM APIs and graph databases for a global trade-focused AI product.
Senior Data Engineer (Governance )
Senior Data Engineer builds and maintains HyTech’s data governance framework, ensuring data quality, compliance, and discoverability across fintech platforms using tools like Databricks Unity Catalog and Alibaba Cloud DataWorks.
Associate, Full Stack Data Engineer
Build and maintain scalable data pipelines, AI/ML Ops systems, and cloud-native platforms to support Nomura’s financial data and analytics needs using Python, Java, React, and cloud tools like Snowflake.
Quantexa Data Engineer sn
Build and optimize big-data pipelines using Spark, Scala, and Elasticsearch for a compliance-focused fintech platform, deploying on OpenShift with DevOps practices.
Data Engineer/Data Migration Analyst
Designs and executes data migration and reporting transformations for a bank, focusing on SQL scripting, ETL development, and data modeling to modernize legacy systems and ensure accurate data movement between platforms.
Data Engineer(open for freshers)
Build and maintain scalable data pipelines and cloud analytics platforms using ETL/ELT workflows, SQL, and Python to support reporting and AI-driven use cases.
Senior Data Engineer
Design and maintain scalable data pipelines and lakehouse/warehouse architectures to power analytics, dashboards, and AI models, automating ETL workflows and enabling MLOps.