Tech Lead and Big Data expert - cloud native observability team

Huaweis public cloud innovation lab is looking for tech leads++!
Be a part of something spectacular - join our lab on a journey to innovation of the coolest disruptive technologies.
An innovation lab is a unique work experience. Have the privilege of watching your ideas and vision developed and offered to tenants of a major cloud vendor. Here you will dabble in all the coolest new concepts, research new technologies, design cloud-scale, multi-tenant services, and of course, implement them.
As a tech lead you will be expected to ideate, understand the value proposition and product vision, conceptualize the big picture, design complex distributed systems, select suitable tech stack and lead the implementation while mentoring others.
As a successful candidate you will have excellent grasp of massive scale SaaS offerings, outstanding verbal and written communication skills you will put to use both internally and externally to the lab, project management capabilities, and most importantly you will possess exceptional research capabilities, have an innovative mind & the ability to think out-of-the-box.
Belonging to an innovation lab, you will not be confined to a single domain such as the norm, and could find yourself shifting from AI & analytics projects to web3 and dev tools innovations during your career.
RESPONSIBILITIES
Design, build, and maintain Big Data workflows/pipelines using technologies like Spark, Flink, Pulsar, Hadoop, Kafka Streams, Druid, Clickhouse, and Apache Beam.
Develop observability solutions for our cloud-native applications, focusing on areas such as application performance monitoring (APM), log analytics, distributed tracing, application and infrastructure telemetry data.
Implement data validation procedures to ensure high data quality and process integrity.
Leverage streaming and batch processing tools to provide real-time analytics insights.
Work with NoSQL databases like HBase, Cassandra, Hive, Pig, and Impala to handle our data needs.
Collaborate with cross-functional teams to define and implement data models that provide intuitive analytics.