Data Engineer
Develop and maintain corporate data warehouses and ELT/ETL pipelines to support business users, analysts, and ML engineers. Ensure data quality and governance while optimizing costs and managing data synchronization across systems.
9 Data Engineer jobs in Armenia available for remote work from home. Apply for positions such as Data Engineer , Data Engineer, Data Engineer (Marketing-oriented) | Remote for Marketing Agency for Education and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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Develop and maintain corporate data warehouses and ELT/ETL pipelines to support business users, analysts, and ML engineers. Ensure data quality and governance while optimizing costs and managing data synchronization across systems.
The Data Engineer will design and maintain scalable ETL/ELT pipelines and data platforms to support analytics and AI initiatives. They will collaborate with cross-functional teams to ensure data quality, security, and performance within financial services environments.
The Senior Data Engineer will own the end-to-end data pipeline architecture, connecting paid media platforms and CRMs into a centralized BigQuery warehouse. They are responsible for building modular transformation pipelines, ensuring data quality, and enabling performant reporting for marketing teams.
The role involves developing internal data services such as a Feature Store and managing EL/ELT/ETL pipelines. You will also be responsible for integrating new tools for data processing and storage while performing operational tasks.
Design, build, and maintain streaming data pipelines while migrating existing ingestion processes to internal infrastructure. Ensure data consistency and resilience within the Snowflake warehouse while evolving the AWS streaming stack.
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Build and evolve a cloud-native, AI-first data platform that transforms business data into actionable assets for AI agents and humans. Lead the transition from batch-oriented pipelines to real-time streaming systems while improving data observability and governance.
Design and implement a centralized data platform to create a Single Source of Truth for strategic company metrics. Collaborate with Product Engineering to evolve reporting capabilities and enable Business Intelligence integrations for clients.
You will own the finance data domain, ensuring data accuracy, reliability, and quality across financial models and reporting. This involves building data products, automating processes, and developing LLM agents to support finance and business teams.
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