The Staff Engineer in Streaming Analytics will help develop distributed learning algorithms, build real-time analytics on cloud and edge devices, and create scalable data pipelines. This role involves solving data and architectural challenges and collaborating with cross-functional teams including data scientists and engineers.
Role and Responsibilities:
- Assist in developing distributed learning algorithms
- Responsible for building real-time analytics on cloud and edge devices
- Responsible for developing scalable data pipelines and analytics tools
- Solve challenging data and architectural problems using cutting edge technology
- Cross functional collaboration with data scientists / data engineering / firmware controls teams
Skills and Experience:
- Strong Java/ Scala programming/debugging ability and clear design patterns understanding, Python is a bonus
- Understanding of Kafka/ Spark / Flink / Hadoop / HBase etc. internals (Hands on experience in one or more preferred)
- Implementing data wrangling, transformation and processing solutions, demonstrated experience of working with large datasets
- Knowhow of cloud computing platforms like AWS/GCP/Azure beneficial
- Exposure to data lakes and data warehousing concepts, SQL, NoSQL databases
- Working on REST API’s, gRPC are good to have skills
- Ability to adapt to new technology, concept, approaches, and environment faster
- Problem-solving and analytical skills
- Must have a learning attitude and improvement mindset
Qualifications:
- MTech/M.S with emphasis in computational or decision sciences preferred
- 3+ years of relevant experience
Top Skills
Java
Python
Scala
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