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Validates and documents ETL pipelines, tracing data flows and business rules to ensure accuracy in a data ecosystem.
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.
Senior Data Engineer builds Snowflake-based governance and privacy workflows, automates data cleanup, and improves data quality for enterprise platforms.
Lead a team to build automated data pipelines and BI systems, replacing manual reports and enabling predictive analytics for a fintech company.
Senior Data Engineer builds and maintains Snowflake-based data platforms, implements governance and privacy workflows, and designs scalable ETL/ELT pipelines using Python/Bash.
Design and maintain Snowflake-based data pipelines and governance solutions, ensuring privacy, quality, and compliance while collaborating on scalable data architecture.
Data Engineer reviews existing SQL code and ETL pipelines to validate data flows, document technical dependencies, and ensure business rules are correctly implemented in an AI services provider's platform.
Lead a team to build and maintain Snowflake-based data ingestion pipelines and AWS data platforms for enterprise clients, enforcing Medallion Architecture and data quality standards.
Lead a team to design and implement AI-driven data governance and privacy solutions on Snowflake and AWS, balancing technical leadership with hands-on execution.
Lead a team building scalable data pipelines in Snowflake and AWS, implementing ELT workflows and Medallion architecture to ensure high-quality financial data.
Lead a team to build and automate scalable data pipelines, converting manual Excel reports into robust analytics workflows and supporting predictive model production using SQL Server, Python, and Databricks.
Senior Data Engineer builds and maintains Snowflake data platforms on AWS with Airflow orchestration, owning ELT pipelines, data quality, and governance for reliable analytics.
Designs and implements scalable AWS data pipelines for analytics, focusing on ingestion, enrichment, and marketing domains while ensuring data quality and governance.
Lead the design and implementation of scalable data pipelines in Snowflake, transforming and validating enterprise data to support AI-driven analytics and reporting workflows using Python and SQL.
Designs and builds Snowflake-based data pipelines and ETL workflows in Python to create reliable datasets for analytics and reporting.
Lead a team to design and implement AI-driven data governance solutions using Snowflake, AWS, and agent-based frameworks for PII protection and compliance automation.
Builds and runs automated tests to validate data pipelines and ensure accuracy for enterprise data initiatives, collaborating with data engineering and analytics teams.
Design and build scalable Snowflake and AWS-based data pipelines with Airflow orchestration to feed analytics and AI services for enterprise clients.
Lead a team of data engineers to design and scale data platforms for analytics, building scalable pipelines and models in Databricks while driving governance and performance improvements.
Design and maintain API-driven data integrations and pipelines for a customer data platform, ensuring reliable data flows and identity resolution across systems.
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