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Build and maintain cloud-based data pipelines and warehouses for clients using AWS, SQL, and ETL tools like SnapLogic or Informatica.
Build and maintain AWS-based data pipelines and warehouses using Python, SQL, and services like Glue, Redshift, and S3 to enable analytics and ML feature stores.
Designs and tests ETL pipelines using SQL and AWS Athena, builds Tableau dashboards, and troubleshoots automated data jobs for enterprise clients.
Designs and builds AWS-based data pipelines and feature stores using Python, SQL, and tools like Glue and Sagemaker to support analytics and ML workloads.
Senior Data Engineer builds scalable ELT/ETL pipelines and data models in Python, SQL, dbt, and Airflow on AWS and Snowflake to power cost attribution and financial modeling for cloud optimization.
Lead a data engineering team to design and scale a robust, end-to-end data architecture for a gaming platform, ensuring reliable reporting, analytics, and LLM consumption while optimizing AWS costs and performance.
Build cloud-edge software and applications for cellular network automation using Java/Kotlin/Python, React/Vue.js, and cloud platforms like AWS/GCP.
Lead a team building and scaling healthcare-focused data systems and applications for audience intelligence, activation, and reporting in a regulated marketing cloud environment using distributed systems, AI, and cloud platforms.
Build and scale the data platform powering WalletConnect’s crypto/stablecoin payments infrastructure, including real-time pipelines, financial reconciliation, and merchant reporting using Python, ClickHouse, Airflow, and dbt.
Senior Data Engineer builds and maintains scalable data pipelines and infrastructure using AWS, Databricks, and Kafka to support analytics and AI initiatives in a large media company.
Build and maintain scalable backend services and real-time data pipelines for a Hong Kong-based ad-tech platform, using Golang and AWS.
Build and maintain cloud-native AI and web apps using AWS, React, NextJS, Java, NodeJS, and Python; collaborate with architects on scalable microservices.
Build AI-powered data platform tools (React UIs, Python APIs, vector stores) that let users explore and query financial data in natural language while ensuring security and correctness in a regulated environment.
Designs and evolves a global data platform for real-time analytics, AI/ML integration, and compliance, using Python/Go/Java, Spark, and lakehouse architectures.
Design and implement AWS-based data and AI platforms for APAC clients, ensuring scalable, compliant solutions that drive business outcomes.
Build and maintain AWS-native data pipelines and warehouses for telecom analytics using S3, Redshift, Glue, and Python/SQL.
Design and build scalable AWS data pipelines and real-time streaming systems using Confluent Kafka for analytics and AI workloads.
Build and scale a cloud-native data platform on AWS to power real-time recommendations and analytics for Europe’s leading brands.
Build and maintain cloud-native AWS data platforms, ETL/ELT pipelines, and data lakes to support analytics and BI use cases.
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