Data Engineer (Snowflake)
Design, build, and maintain scalable data pipelines and cloud data solutions using Snowflake. Collaborate with engineering and analytics teams to ensure high-quality data availability for reporting and decision-making.
Remote Data Engineer Jobs in Armenia
84 Data Engineer jobs in Armenia available for remote work from home. Apply for positions such as Data Engineer (Snowflake), Data Engineer (Marketing-oriented) | Remote for Marketing Agency for Education, Senior Data Engineer and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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Design, build, and maintain scalable data pipelines and cloud data solutions using Snowflake. Collaborate with engineering and analytics teams to ensure high-quality data availability for reporting and decision-making.
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.
You will design and build new cost-management features, including forecasting, anomaly alerts, and data-visualization tools. Additionally, you will develop data pipelines and transformation models while ensuring the reliability and performance of the application.
Design and maintain scalable ETL/ELT pipelines and data workflows while ensuring data quality and security. Contribute to the development of voice-agent solutions, including speech-to-text, text-to-speech, and LLM integrations.
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The engineer will analyze existing Power BI reports and Alteryx workflows to document end-to-end data lineage and transformation logic. They will also collaborate with stakeholders to validate report logic and identify obsolete data sources.
Design and operate high-volume, low-latency real-time data systems using Apache Flink as the core engine. Build and maintain high-scale streaming data pipelines on self-managed on-premise infrastructure.
Design and operate high-volume analytical data systems end to end using Apache Spark. Build and maintain high-scale batch and near-real-time data pipelines on self-managed infrastructure.
Design, implement, and maintain web scrapers to collect alternative datasets while performing data cleaning and transformation. Collaborate with cross-functional teams to build efficient data processing workflows and maintain alerting systems for data integrity.
Design, build, and maintain scalable data pipelines while leveraging tools like Azure Data Factory and Databricks. Lead and mentor engineering teams while collaborating with cross-functional stakeholders to deliver comprehensive data solutions.
Design and build scalable data ingestion, cleaning, and LLM enhancement pipelines to power AI applications. Implement AI guardrails and RAG architectures to ensure the accuracy and reliability of AI-ready datasets.
Design and maintain scalable data pipelines using Databricks to support HR and People Analytics. Develop interactive Power BI dashboards and optimize data models to provide actionable workforce insights.
The Senior Mechanical Engineer will design solutions and perform calculations for large technology companies and mission-critical clients. Responsibilities include writing technical reports, preparing documents, and coordinating with internal teams and clients.
Build and scale data platforms for AI-driven analytics using high-volume sensor, satellite, and third-party data. Own end-to-end data pipelines from real-time ingestion to analytics while ensuring data quality and performance.
Lead the implementation of a scalable data quality and observability framework using GX Core to detect and prevent data issues. Design automated validation checks, maintain data lineage, and integrate quality validations into CI/CD pipelines.
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.
Design, develop, and deploy scalable data pipelines and ETL/ELT processes using the Dataiku DSS platform. Support a large-scale enterprise data lakehouse migration while collaborating with international business and technical stakeholders.
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Architect and maintain the data model, pipelines, and access layers to support healthcare operations and analytics. Lead technical engineering best practices and ensure data quality and governance across the platform.
Design and optimize robust data pipelines and scalable warehousing architectures using Snowflake and dbt. Collaborate with stakeholders to transform raw data into actionable models for manufacturing and supply chain workflows.
Develop and maintain the Enterprise Data Warehouse and standard dashboards for a Global Business Intelligence Team. Provide data support for business self-service and data analysis activities.
Design and maintain scalable ETL/ELT pipelines to extract and load data from sources like Oracle. Create and optimize data models in Snowflake and Redshift to support AI/ML solutions and business objectives.
Design, develop, and deploy bots using Automation Anywhere A360 and Excel VBA macros. Collaborate with stakeholders to identify automation opportunities and maintain documentation such as PDDs and SDDs.
Design and maintain scalable batch and real-time data pipelines on GCP using Medallion Architecture. Develop high-performance data transformations and optimize complex SQL queries for large-scale analytical workloads.
Design, develop, and optimize AI/ML models and pipelines to power cybersecurity behavioral detectors. Collaborate with cross-functional teams to integrate these features into a scalable, fault-resilient platform.
Design instrumentation and control systems for data centers, including conceptual designs, detailed site designs, and retrofits. Coordinate with multidisciplinary teams and vendors to ensure Building Management Systems are properly designed and constructed.
Architect and maintain scalable data platform infrastructure and optimize analytic query engines. Collaborate with data teams to implement robust data management solutions and observability frameworks.
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Design and optimize complex SQL Server solutions with a focus on performance tuning and data modeling. Automate processes using PowerShell and integrate systems via APIs and LLM-driven workflows.
The Senior Structural Engineer will independently manage engineering and project management tasks for small to medium-sized projects from start to finish, including processing design calculations and developing project scopes and schedules. Responsibilities also involve producing structural construction drawings and specifications, and coordinating efforts with other internal teams and clients.
The role involves leading the development and maintenance of data services and solutions to support products, downstream services, or infrastructure tools used across BEES. This includes designing efficient data models and implementing architectural improvements to enhance performance, monitoring, and evolution of data products.
Design, deploy, and operate scalable data platforms using cloud-native technologies and automation. Collaborate with cross-functional teams to ensure system resilience, performance, and cost efficiency through SRE and DevOps practices.
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