Staff Data Engineer

1 week ago

Bengaluru, Karnataka, India Inseego Corp Full time ₹ 12,00,000 - ₹ 36,00,000 per year

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

Experience/Requirements:


• good years of 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

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