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Build enterprise-grade data pipelines and cloud data platforms for financial clients, using ETL/ELT, SQL, Python, and cloud services like Azure/AWS to deliver insights and improve finance functions.
Build and maintain data pipelines, ETL processes, and reporting solutions for a public-sector financial regulator using Python, SQL, and Tableau.
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 Bowtie’s data warehouse, ELT pipelines, and BI dashboards to power insurance analytics and regulatory reporting, while laying the groundwork for predictive analytics and AI integrations.
Build low-latency crypto trading infrastructure and automated strategies for a global exchange, integrating CeFi/DeFi venues, risk systems, and real-time data pipelines.
Builds ETL/ELT pipelines and inference layers for privacy-safe audience segmentation using aggregated historical data in cloud data warehouses.
Build, deploy, and maintain production-grade ML models and MLOps pipelines using Python, Docker, Kubernetes, and cloud platforms.
Designs and governs enterprise-wide data architecture, canonical models, and cross-system integrations for ERP, CRM, and HRIS to ensure data integrity and analytics readiness.
Design and implement AWS-based data and AI platforms for APAC clients, ensuring scalable, compliant solutions that drive business outcomes.
Build and optimize scalable Snowflake-based data pipelines, own data models and governance, and integrate cloud-native apps while collaborating across North and Latin America teams.
Senior Data Engineer builds a cloud-based Lakehouse platform on AWS and GCP, owning data ingestion, dbt transformations, and Airflow orchestration for payment, marketing, and operational analytics.
Build and maintain scalable data pipelines and real-time processing using Kafka, Databricks, Spark, and Airflow to power gaming, sportsbook, payments, and marketing systems.
Build and maintain Snowflake data models to power AI-driven marketing systems, enabling agentic workflows and LLM tool-calling for predictive and generative use cases.
Lead a team to design and build cloud-based data pipelines using Spark, Kafka, Airflow, and DBT for analytics across APAC.
Build and maintain automated data workflows using Apache Airflow, designing optimized pipelines while collaborating with cross-functional teams.
Design and maintain scalable data pipelines and analytics infrastructure using Snowflake, DBT, Airflow, and Fivetran to power internal reporting and AI-driven analytics.
Design and build scalable AWS data pipelines and real-time streaming systems using Confluent Kafka for analytics and AI workloads.
Designs and builds cloud-based data warehouses and pipelines for a healthcare company, using SQL and BigQuery to support analytics and reporting across clinical and financial systems.
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