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Lead a data engineering team to design and build scalable data pipelines, warehouses, and integrations for marketing tech stacks using GCP, Snowflake, dbt, and Airflow.
Lead the design and implementation of enterprise-scale data platforms (data warehouses, lakes, and analytics) using SQL, Python, and cloud tools, while mentoring a team and setting technical standards.
Lead the design and governance of data pipelines, ensuring reliability and observability while mentoring engineers and shaping team velocity.
Define data engineering standards, own production reliability, and guide scalable pipelines in a fast-paced trading environment while mentoring a high-performing team.
Lead the design and reliability of Deriv’s data pipelines, ensuring accuracy, observability, and governance for trading, compliance, and AI systems at scale.
Lead a team to build and maintain data pipelines and AI models, ensuring scalable, secure, and high-quality data infrastructure for analytics and production systems.
Lead a team to build and scale data pipelines in Databricks for Journey Analytics, mentoring engineers and delivering reliable datasets for reporting and analytics.
Lead a data engineering team to design and build scalable cloud-based pipelines in Python and SQL, enabling analytics and reporting for a fintech company.
Lead a team to build automated data pipelines and BI systems, replacing manual Excel reports with scalable solutions while supporting predictive analytics and model scoring.
Lead a team to build and scale data platforms for journey analytics, focusing on reliable pipelines and modern data modeling using Databricks.
Lead a team building ETL pipelines on Microsoft Fabric to integrate 80+ ERP systems and prepare data for AI applications.
Lead a team building automated data pipelines and BI solutions for Blend, converting legacy Excel reports into scalable analytics and supporting predictive model production workflows.
Oversee financial frameworks like budgeting and forecasting, manage accounting practices, and analyze business performance for a fintech company.
Lead a team to build scalable data pipelines on Google Cloud and Databricks using Python and SQL, while mentoring engineers and delivering high-quality data products.
Senior Data Engineer builds and maintains Snowflake-based data architecture and dbt pipelines for a finance data platform, ensuring reliability and data quality.
Lead a team to build automated data pipelines and BI systems, replacing manual reports and enabling predictive analytics for a fintech company.
Lead a team to design and build production-grade data pipelines using Python and Airflow, ensuring reliability and alignment with business goals.
Lead a team to build and scale data pipelines using Java and AWS, ensuring robust, high-performance data platforms for enterprise clients.
Lead a team to build and automate data pipelines for reporting, BI, and predictive AI using Python, Databricks, SQL Server, and Tableau.
Lead the design and build of scalable cloud data pipelines using Python, SQL, and Azure/Databricks, while mentoring engineers and optimizing data flows.
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