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Data Analytics Engineer: Architecting AI-Driven Insights
Designs and builds AI-driven analytics pipelines using Power BI, Fabric, and Data Lake to help organizations extract insights from their data.
Data Engineer Netdigitalisering
Builds a scalable data platform for real-time energy-grid sensor streams, integrating registers and events to power apps and analytics using Kafka, Spark, and Databricks.
Senior Data Engineer, Colombia
Design and build scalable data pipelines and cloud data warehouses for global clients using Azure, SQL, and Spark, ensuring data quality and governance during a critical migration.
data BAU lead - data engineering (weekends, shift) #IKR
Lead a team maintaining and improving cloud-based data pipelines and warehouses, migrating legacy systems to Snowflake and AWS, and ensuring 24/7 production support with weekend/shift rotations.
Senior Azure Data Engineer - Banking & Data Platform
Design and build Azure-based data pipelines for a bank using Data Factory, Databricks, and Synapse Analytics, ensuring data quality, governance, and security with SQL, Python, and PySpark.
T&T Consultant - Engineering - Data Engineer - SG
Build and maintain scalable data pipelines, ETL/ELT workflows, and cloud-based data warehouses using SQL, Python, and AWS/GCP tools to support analytics and backend services.
First VP, Senior Data Engineer, Group Technology & Ops
Build and maintain enterprise-scale data platforms (Lakehouse, Kafka, Spark) and AI-ready data products for a major bank, focusing on ingestion, governance, and real-time analytics.
T&T Senior Consultant - Engineering - Data Engineer - SG
Senior Data Engineer at Deloitte SG builds and maintains scalable ETL pipelines, data warehouses, and APIs using cloud platforms (AWS/Azure/GCP) and big-data tools (Spark, Kafka) to integrate and transform client data for analytics.
Data Engineer - United Overseas Bank
Builds and optimizes data pipelines and real-time systems for a major bank using Java, Spark, Python, and Hadoop ecosystem tools to support AI-driven analytics and risk scoring.
Manager, Data Engineer, Group Technology & Ops
Build and optimize scalable data pipelines and real-time systems for a major bank using Java, Spark, Python, and the Hadoop ecosystem to support AI-driven analytics and risk scoring.
Data Engineer (Business Intelligence & Dashboards) - KT
Designs and builds data pipelines, models, and Tableau dashboards to turn business needs into accurate, self-service analytics for government stakeholders.
AWS Data Engineer - ETL & Big Data
Build and maintain a data lake using AWS Glue and Athena, designing ETL pipelines with PySpark to ingest and process large datasets.
Senior Real-Time Big Data Engineer (Flink)
Designs and builds real-time big-data pipelines using Flink and streaming frameworks to power TikTok’s recommendation engine.
Senior Data Platform Engineer - AI-Driven Analytics
Designs and builds scalable data infrastructure and AI-driven analytics products to power data-driven decisions across media business lines.
Data Engineer (AWS, Glue, Snowflake)
Lead a cloud-first data engineering team to build and maintain AWS/Snowflake pipelines, migrate legacy ETL jobs, and ensure robust data flows and warehouse operations.
Manager, Data Engineer, Group Technology & Ops
Build and optimize data pipelines and real-time systems for a bank using Java, Spark, Python, and Hadoop ecosystem tools to support AI-driven analytics and risk scoring.
Real-Time Big Data Engineer — Streaming Infra
Builds real-time streaming infrastructure for large-scale recommendation systems using Flink and data lake tech, handling PB-scale data in a fast-paced environment.
Data Engineer: Real-Time Pipelines & Cloud Architecture
Build and maintain real-time data pipelines and cloud-based warehouses to power scalable analytics for a fintech company.
Sr Data Engineer
Design and maintain scalable data pipelines, ETL/ELT processes, and data models across cloud and on-premise systems using Python, Spark, SQL, and cloud services.
Data Engineer (Mid-Level)
Build and maintain scalable data pipelines, ETL processes, and APIs in AWS GCC to support data-driven products and analytics for a fintech company.