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Data & AI Platform Engineer- #AIDA
Build and maintain data ingestion pipelines using PySpark, SQL, Databricks, and Kafka to feed analytics and GenAI systems, while assisting with RAG and data virtualization layers.
Databricks Data Engineer: PySpark & Delta Lake Expert
Senior data engineer builds and optimizes scalable data pipelines on Databricks using PySpark and Delta Lake, delivering reliable data products for analytics teams.
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.
Azure Data Engineer: Synapse, PySpark & Power BI
Designs and implements PySpark data pipelines on Azure Synapse, builds Power BI dashboards, and manages data storage with Azure DevOps for deployments.
Data Scientist (AI / Machine Learning / Cloud)
Build and deploy production-grade AI/ML models and GenAI solutions on cloud platforms, collaborating with engineers to solve real-world business problems using Python, SQL, and modern ML frameworks.
Lead Data Scientist & AI/ML Innovator
Lead the design and deployment of AI/ML models and analytics solutions in Singapore, mentoring junior data scientists and driving business impact through scalable data strategies.
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.
Data Scientist II - QuantumBlack, AI by McKinsey
Build and deploy ML systems for clients across industries, using Python, SQL, and big-data frameworks to solve complex business problems with AI at scale.
Senior Data Engineer & Analytics Solutions Lead
Build and optimize data pipelines for Tommy Hilfiger and Calvin Klein’s ecommerce analytics, using SQL, PySpark, and ETL tools to support reporting and decision-making.
Data Engineer (Angular, Java, Pyspark and SQL)
Builds and maintains data pipelines and banking dashboards using PySpark, Java, SQL, and Angular.
Data Engineer (Angular, Java, Pyspark and SQL)
Builds and maintains scalable data pipelines and banking dashboards using PySpark, Java, SQL, and Angular.
Lead Data Engineer - PySpark, Databricks & SQL
Design and build scalable data pipelines with PySpark and Databricks to power analytics and decision-making.
Senior Data Engineer - PySpark, Databricks & SQL
Build and optimize PySpark/Databricks data pipelines and SQL queries to transform raw data into clean, governed datasets for analytics and dashboards in a government-focused tech environment.
Senior Data Engineer - PySpark, SQL & Databricks
Builds and optimizes data pipelines using PySpark and SQL, transforms raw data into dashboards with Tableau/Power BI, and supports analytics for business insights.
Senior Data Engineer (Reporting and Analytics Developer)
Build and optimize data pipelines and analytics models using SQL, Python, PySpark, and Cloudera; create reports with Tableau and support production systems.
AWS Data Engineer — PySpark, ETL & Cloud Automation
Designs and builds scalable AWS data pipelines and ETL workflows using PySpark, AWS Glue, and serverless components to power analytics and BI.
Azure Data Engineer: Synapse, PySpark & Power BI
Builds and optimizes PySpark data pipelines on Azure Synapse, orchestrates ETL workflows, and creates Power BI dashboards with row-level security for on-prem, API, and IoT data sources.
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.
Cloud Data Engineer — AWS Migration Specialist
Build and migrate scalable cloud data platforms using Python, PySpark, and AWS services, moving enterprise workloads from Cloudera/Hadoop to AWS.
Data Engineer: Enable Trusted Data Delivery & Governance
Build and maintain reliable data pipelines and governance processes in Azure Databricks, partnering with teams to deliver trusted datasets and enforce security standards.