• Collaboration with U.S-based client stakeholders on solution design/definition. Identify solutions that solve business problems, translating requirements into technical specifications and actionable work. • Writing code and implementing the proposed solutions • Creating data pipelines, versioning and change management • Manage the complexity inherent in versioned data pipelines • Develop ETL/ELT processes to help extract and manipulate data from multiple sources. • Design, build and maintain batch or real-time data pipelines in production. • Automate data workflows such as data ingestion, aggregation, and ETL processing. • Logging and instrumentation of pipelines and services. • Ensure data accuracy, integrity, privacy, security, and compliance through quality control procedures.

• Collaboration with U.S-based client stakeholders on solution design/definition. Identify solutions that solve business problems, translating requirements into technical specifications and actionable work. • Writing code and implementing the proposed solutions • Creating data pipelines, versioning and change management • Manage the complexity inherent in versioned data pipelines • Develop ETL/ELT processes to help extract and manipulate data from multiple sources. • Design, build and maintain batch or real-time data pipelines in production. • Automate data workflows such as data ingestion, aggregation, and ETL processing. • Logging and instrumentation of pipelines and services. • Ensure data accuracy, integrity, privacy, security, and compliance through quality control procedures.

• Collaboration with U.S-based client stakeholders on solution design/definition. Identify solutions that solve business problems, translating requirements into technical specifications and actionable work. • Writing code and implementing the proposed solutions • Creating data pipelines, versioning and change management • Manage the complexity inherent in versioned data pipelines • Develop ETL/ELT processes to help extract and manipulate data from multiple sources. • Design, build and maintain batch or real-time data pipelines in production. • Automate data workflows such as data ingestion, aggregation, and ETL processing. • Logging and instrumentation of pipelines and services. • Ensure data accuracy, integrity, privacy, security, and compliance through quality control procedures.

• ETL pipeline development — Build and maintain data ingestion pipelines that move data reliably from source into the warehouse. Own the infrastructure end-to-end. • Data transformation and table logic — Build and maintain transformation models — client-specific and shared. Handle schema changes, new table configurations, and the ongoing queue of transformation requests. • Data quality and anomaly detection — Own data quality monitoring end-to-end: setup, threshold tuning, alert triage, and fixes. Extend coverage through assertions and automated alerting. Turn reactive monitoring into proactive coverage. • Client onboarding infrastructure — Every new Lahzo client gets a dedicated cloud project, service accounts, permissions, and registered data pipelines. You own this process from infrastructure provisioning to first clean pipeline run. • Pipeline reliability and debugging — Understand the full data flow from raw event ingestion through final reporting tables. Debug issues across the stack end-to-end. • Ad hoc data requests — First responder for data requests from internal teams — confirming requirements, making schema or pipeline changes, and keeping the queue clear so the team stays focused on higher-leverage work.