Location : Bengaluru

Location Status : WFO

Company Overview :

Headquartered in San Diego, California, Inseego Corp. (Nasdaq: INSG) is an industry pioneer in smart device-to-cloud solutions that extend the 5G network edge, enabling broader 5G coverage, multi-gigabit data speeds, low latency and strong security to deliver highly reliable internet access. Our innovative mobile broadband and fixed wireless access (FWA) solutions incorporate the most advanced technologies (including 5G, 4G LTE, Wi-Fi 6 and others) into a wide range of products that provide robust connectivity indoors, outdoors and in the harshest industrial environments.

Position Overview :

Staff Engineer - Data is responsible for architecture, design and implementation of our data collection, modeling, processing and storage in our cloud platform.

Responsibilities :

- Lead a team of globally distributed engineers to design and develop our data solutions.

- Hands on, worked with millions of transactional data, storage, optimization, design, stats.

- Work with products to understand business requirements, design, and architect solution.

- Work with onsite and remote engineers to design and implement enterprise scale data collection, modeling, processing, and storage.

- Work with a cross functional team of HW, FW, SW, AI/ML engineers to achieve the business vision.

- Participate in scrum rituals and provide effort estimates for features.

- Publish standard, best practices, perform design and code reviews.

- Good understanding of cloud native best practices, CI/CD DevOps practices, and security and privacy guidelines.

- Diagnose, characterize, and address performance and scale issues.

- Monitor and troubleshoot production issues and provide solutions to resolve them.

- Identify, prototype and champion new technology solutions.

Requirements :

- Experience in leading application development as E2E data engineer for highly available enterprise grade software and platform applications.

- 3+ years of experience in Platform Engineering across various cloud computing models.

- Expertise in one relational db (SQL Server, Postgres, MySQL) and in one nosql store (Cassandra, MongoDB, InfluxDB, Elastic Search).

- Experience with data processing systems, both batch and stream (Hadoop/MapReduce, Flink, Spark).

- Expertise with integration of complex and large data from multiple data sources, device and sensor data, and telemetry.

- Experience in applying Data Governance, Data Privacy and Data Security regulations.

- Experience with Git, Jira, Confluence and similar issues tracking and collaboration tools.

- Must understand Kubernetes, Container Orchestrations, Docker, and Cloud Native applications.

- Experience in using public cloud platform services, such as Azure and AWS.

- Must have experience in cloud native application patterns and tools, microservice architectures, application migrations to any cloud platform.

- Excellent understanding of Infrastructure, Virtualization, Containers, Network, Storage, Azure Data Lake, Power BI monitoring tools, Logging analytic tools (Splunk, etc.).

- Experience with Application Performance Management tools (Prometheus, Grafana).

- Deep understanding of Agile principles and processes.

- Thrive in a fast-paced environment with minimal supervision.

- Experience in IoT, machine learning, computer vision, video solutions.

- Problem solver who can provide creative and cost-effective solutions.

Education :

- Bachelor's Degree in either Computer Science or a related scientific discipline or equivalent meaningful experience.

Expectation from the candidate :

Ideally, the candidate should have played the role of Database Administrator for the initial few years of his career and then transitioned into Data Engineer for the last few years and currently playing the role of Data Architect.

Mandatory Skills :

- SQL, Cassandra, Postgres, Redis, Data lake.