Lead the design and architecture of Business Intelligence reporting and Power Platform solutions. Oversee technical quality through code reviews, project planning, and stakeholder communication.
Lingaro
17 Remote Job Openings at Lingaro
BI Fullstack Developer with Power BI and Looker (Enterprise)
Lingaro
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Full Time
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8 days ago
Lingaro
Design and implement complex Power BI and Looker dashboards while optimizing data models using Google BigQuery. Lead technical designs, conduct code reviews, and collaborate with stakeholders to align BI solutions with business requirements.
Define and apply evaluation-driven development loops for AI systems focusing on quality, reliability, and cost. Collaborate with product teams to prototype scalable AI building blocks and implement AI-native engineering practices.
Design, develop, and maintain scalable server-side logic and APIs for web applications. Manage database schemas and implement security best practices to ensure application performance and protection.
Act as the first point of contact for IT support requests, managing and resolving tickets via JIRA. Responsibilities include hardware and software troubleshooting, IT asset lifecycle management, and coordinating onboarding and offboarding processes.
Lead the development of supply chain analytics offerings focusing on planning, forecasting, and inventory optimization. Act as a subject matter expert to translate client business challenges into data-driven AI and analytics solutions.
Develop and grow the Supply Chain Analytics practice by translating business challenges into data-driven solutions. Act as a subject matter expert in planning and procurement to support client advisory, pre-sales, and delivery excellence.
Design, model, and develop the GCP data ecosystem, including data lakes and warehouses, for a client. This involves gathering requirements, optimizing data storage architectures, and mentoring junior data engineers.
Design and implement scalable data processing systems and pipelines on the Azure platform to ingest and transform data from various sources. Collaborate with cross-functional teams to optimize data storage architectures and provide structured data for analysis and modeling.
The consultant will design and deliver edge-to-cloud industrial architectures, bridging OT systems with cloud platforms to enable data-driven manufacturing use cases. They will provide technical leadership, validate implementation plans, and ensure robust cybersecurity and interoperability across global manufacturing sites.
The consultant will build and maintain complex LCA models while translating findings into actionable business recommendations and sustainability KPIs. They will also lead technical initiatives to automate LCA processes using cloud platforms and AI-driven solutions.
The role involves working on end-to-end classification and forecasting use cases, from data preparation and model development to evaluation and basic deployment support. Responsibilities also include building visualizations, delivering reports to stakeholders, and collaborating with engineers to move models into production.
The role involves partnering with leadership to shape customer Data Management (DM) strategy and leading the development of modern DM solutions covering ingestion, transformation, orchestration, and governance. Key duties include driving innovation through experimentation, POCs, and leveraging emerging technologies like AI/ML, while also coaching junior team members.
The role involves designing, developing, and maintaining server-side logic, implementing scalable components and APIs, and working extensively with relational and/or NoSQL databases for efficient data storage and retrieval. Responsibilities also include integrating third-party APIs, implementing security best practices, optimizing code for speed, and collaborating with front-end teams.
The role involves designing, developing, and maintaining cloud-native applications primarily on Google Cloud Platform using Python and related backend technologies. Key tasks include building robust backend services, working with PostgreSQL, containerizing applications with Docker, and implementing CI/CD pipelines.
Designing, developing, and maintaining server-side logic for web applications while implementing scalable components and APIs. Collaborating with front-end developers and conducting thorough testing to ensure seamless integration and performance optimization.
The Solution Architect will lead the delivery of Data Integration and Analytics solutions for customers on major cloud platforms. They will prepare complete solution designs, make critical technological decisions, and support application development teams throughout the project lifecycle.