
As a Sr. Cloud IoT Engineer with Intuitive, you will be responsible for the data acquisition from devices and sensors that allows the device to connect seamlessly with other systems. You will be researching, creating, testing, and documenting IoT solutions with integrated systems and devices to help the analytics and data science initiatives across our enterprise customers.
You will be working closely with SMEs in Data Engineering and Cloud Engineering, to create solutions and extend Intuitive's DataOps Engineering Projects and Initiatives. The Sr. Cloud IoT Engineer will be a central critical role for establishing the DataOps/DataX data logistics and management for building data pipelines, enforcing best practices, ownership for building complex and performant Data Lake Environments, work closely with Cloud Infrastructure Architects and DevSecOps automation teams. The Sr. Cloud IoT Engineer is the main point of contact for all things related to ingestion of telemetry data and saturation into time series or other databases. In this role, we expect our DataOps leaders to be obsessed with telemetry data and providing insights to help our end customers.
KEY REQUIREMENTS:
- 10+ years’ experience as data engineer.
- Must have 5+ Years in implementing IoT engineering solutions with multiple cloud providers and toolsets.
- This is hands on role building data pipelines using Cloud Native and Partner Solutions. Hands-on technical experience with Data at Scale.
- Must have deep understanding of solutions like AWS IoT Greengrass edge runtime and cloud services to build, deploy, and manage device software across the fleet of devices.
- Hands on experience with AWS IoT stack like Core, SiteWise, Kinesis, Lamda, Timestream
- Performance Tuning of streaming telemetry data based with tools like Grafana, Amazon Cloudwatch and QuickSight informed by business requirements.
- Good working experience on Web Service Integration, RESTful APIs, WebSockets and MQTT.
- Experience with Development Tools for CI/CD, Unit and Integration testing, Automation and Orchestration

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Work Mode: Hybrid (2 days WFO)
We are looking for a Data Engineer who is a self-starter to work in a diverse and fast-paced environment within our Enterprise Data team. This is an individual contributor role that is responsible for designing and developing of data solutions that are strategic for the business and built on the latest technologies and patterns,regional and global level by utilizing in-depth knowledge of data, infrastructure, technologies and data engineering experience.
Responsibilities
· Design, Architect, and Develop solutions leveraging cloud big data technology to ingest, process and analyze large, disparate data sets to exceed business requirements
· Develop systems that ingest, cleanse and normalize diverse datasets, develop data pipelines from various internal and external sources and build structure for previously unstructured data
· Interact with internal colleagues and external professionals to determine requirements, anticipate future needs, and identify areas of opportunity to drive data development
· Develop good understanding of how data will flow & stored through an organization across multiple applications such as CRM, Broker & Sales tools, Finance, HR etc
· Unify, enrich, and analyze variety of data to derive insights and opportunities
· Design & develop data management and data persistence solutions for application use cases leveraging relational, non-relational databases and enhancing our data processing capabilities
· Develop POCs to influence platform architects, product managers and software engineers to validate solution proposals and migrate
· Develop data lake solution to store structured and unstructured data from internal and external sources and provide technical guidance to help migrate colleagues to modern technology platform
· Contribute and adhere to CI/CD processes, development best practices and strengthen the discipline in Data Engineering Org
· Mentor other members in the team and organization and contribute to organizations’ growth.
Soft Skills
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· Team player, Reliable, self-motivated, and self-disciplined individual capable of executing on multiple projects simultaneously within a fast-paced environment working with cross functional teams
· Strong communication and collaboration skills, with the ability to work effectively in a team environment.
Technical Skills
· 8+ years’ work experience and bachelor’s degree in Information Science, Computer Science, Mathematics, Statistics or a quantitative discipline in science, business, or social science.
· Hands-on engineer who is curious about technology, should be able to quickly adopt to change and one who understands the technologies supporting areas such as Cloud Computing (AWS, Azure(preferred), etc.), Micro Services, Streaming Technologies, Network, Security, etc.
· 5 or more years of active development experience as a data developer using Python-spark, Spark Streaming, Azure SQL Server, Cosmos DB/Mongo DB, Azure Event Hubs, Azure Data Lake Storage, Azure Search, Azure Data factory and Azure synapse analytics, Git Integration with Azure DevOps, etc.
· Experience with designing & developing data management and data persistence solutions for application use cases leveraging relational, non-relational databases and enhancing our data processing capabilities
· Experience with building, testing and enhancing data curation pipelines and integrating data from a wide variety of sources like DBMS, File systems, APIs and streaming systems for various KPIs and metrics development with high data quality and integrity
· Experience with maintaining the health and monitoring of assigned data engineering capabilities that span analytic functions by triaging maintenance issues; ensuring high availability of the platform; monitoring workload demands; working with Infrastructure Engineering teams to maintain the data platform; serve as an SME of one or more application
· 3+ years of experience working with source code control systems and Continuous Integration/Continuous Deployment tools
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Job Sector: IT, Software
Job Type: Permanent
Location: Chennai
Experience: 10 - 20 Years
Salary: 12 – 40 LPA
Education: Any Graduate
Notice Period: Immediate
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